기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다. # 사용 가능한 파운데이션 모델 Amazon SageMaker JumpStart는 사용자의 생성형 AI 워크플로에 사용자 지정 및 통합할 수 있는 최첨단 내장형 공개적으로 사용 가능한 독점 파운데이션 모델을 제공합니다. 사용 가능한 모든 JumpStart 파운데이션 모델을 나열하려면: ``` import boto3 sagemaker_client = boto3.client("sagemaker", region_name="us-west-2") # List all available models in the SageMakerPublicHub all_models = [] next_token = None while True: params = {"HubName": "SageMakerPublicHub", "HubContentType": "Model"} if next_token: params["NextToken"] = next_token response = sagemaker_client.list_hub_contents(**params) all_models.extend(response["HubContentSummaries"]) next_token = response.get("NextToken") if not next_token: break print(f"Total models available: {len(all_models)}") for model in all_models[:5]: print(model["HubContentName"], model["HubContentVersion"]) ``` 특정 모델에 대해 지원되는 인스턴스 유형 및 기타 메타데이터를 가져오려면: ``` import json import boto3 sagemaker_client = boto3.client("sagemaker", region_name="us-west-2") model_id = "meta-textgeneration-llama-3-3-70b-instruct" response = sagemaker_client.describe_hub_content( HubName="SageMakerPublicHub", HubContentType="Model", HubContentName=model_id ) # Parse the model metadata model_doc = json.loads(response["HubContentDocument"]) print(f"Supported instances: {model_doc['SupportedInferenceInstanceTypes']}") print(f"Default instance: {model_doc['DefaultInferenceInstanceType']}") ``` 다음 표에는 2026년 4월 30일부터 라이선스 및 지원되는 추론 인스턴스 유형이 있는 사용 가능한 모델이 나열되어 있습니다. 최신 정보는 위의 API 예제를 사용하거나 SageMaker Studio의 모델 허브를 참조하세요. ------ #### [ Open-Weight Models (417) ] 개방형 파운데이션 모델은 Meta, Google, Mistral AI 등과 같은 공급자가 공개적으로 사용할 수 있는 모델입니다. 사용 사례에 맞게 이러한 모델을 배포, 미세 조정 및 사용자 지정할 수 있습니다. 이러한 모델 중 하나를 시작하려면 섹션을 참조[JumpStart 파운데이션 모델 사용량](jumpstart-foundation-models-use.md)하거나 사용 가능한 중 하나를 살펴보세요[예제 노트북](jumpstart-foundation-models-example-notebooks.md). 주어진 예제 노트북에서 모델 ID를 전환하여 동일한 모델 패밀리 내의 다른 모델을 실험해 보세요. SageMaker Python SDK를 사용하여 공개적으로 사용 가능한 JumpStart 파운데이션 모델을 배포하는 데 필요한 모델 ID 및 리소스에 대한 자세한 내용은 [SageMaker Python SDK로 파운데이션 모델 사용](jumpstart-foundation-models-use-python-sdk.md)를 참조하세요. | 제공업체 | 모델 이름 | 모델 ID | Task | 라이선스 | 미세 조정 가능 | 지원되는 추론 인스턴스 유형 | | --- | --- | --- | --- | --- | --- | --- | | 01-Ai | Yi-1.5-34B | huggingface-llm-yi-1-5-34b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 01-Ai | Yi-1.5-9B | huggingface-llm-yi-1-5-9b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Ahxt | Lite Llama 460M 1T | huggingface-llm-ahxt-litellama-460m-1t | 텍스트 생성 | mit | 아니요 | ml.g5.2xlarge | | Ai-영구 | 다국어 GPT | huggingface-llm-ai-forever-mgpt | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.2xlarge | | Aisingapore | Llama3 8B SEA-Lion v2.1 Instruct | huggingface-llm-llama3-8b-sealionv21-instruct | 텍스트 생성 | llama3 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Aisingapore | SEA-LION 3B | huggingface-llm-sealion-3b | 텍스트 생성 | mit | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.8xlarge | | Aisingapore | SEA-LION 7B | huggingface-llm-sealion-7b | 텍스트 생성 | mit | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Aisingapore | SEA-LION 7B 지침 | huggingface-llm-sealion-7b-instruct | 텍스트 생성 | mit | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Alibaba-Nlp | Alibaba-NLP gte-Qwen2-7B-instruct | huggingface-textembedding-gte-qwen2-7b-instruct | 텍스트 임베딩 | Apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | 알레나이 | Olmo-3-7B-Instruct | huggingface-textgeneration-olmo-3-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6e.24xlarge | | Amazon | 크로노스 2 | pytorch-forecasting-chronos-2 | 시계열 예측 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6e.2xlarge, ml.g6e.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge | | Amazon | Falcon 라이트 | huggingface-llm-amazon-falconlite | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Amazon | Falcon Lite 2 | huggingface-llm-amazon-falconlite2 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Amazon | Mistral Lite | huggingface-llm-amazon-mistrallite | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Autogluon | 크로노스 볼트(기본) | autogluon-forecasting-chronos-bolt-base | 시계열 예측 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Autogluon | 크로노스 볼트(소형) | autogluon-forecasting-chronos-bolt-small | 시계열 예측 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5(기본) | autogluon-forecasting-chronos-t5-base | 시계열 예측 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5(대형) | autogluon-forecasting-chronos-t5-large | 시계열 예측 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Autogluon | Chronos-T5(소형) | autogluon-forecasting-chronos-t5-small | 시계열 예측 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.p3.2xlarge | | 바이 | BAAI bge-base-en-v1.5 | huggingface-textembedding-bge-base-en-v1-5 | 텍스트 임베딩 | MIT | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | 바이 | BGE Base En | huggingface-sentencesimilarity-bge-base-en | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE Base En V1.5 | huggingface-sentencesimilarity-bge-base-en-v1-5 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE 대형 En | huggingface-sentencesimilarity-bge-large-en | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE Large En V1.5 | huggingface-sentencesimilarity-bge-large-en-v1-5 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE M3 | huggingface-sentencesimilarity-bge-m3 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE 스몰 엔 | huggingface-sentencesimilarity-bge-small-en | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 바이 | BGE Small En V1.5 | huggingface-sentencesimilarity-bge-small-en-v1-5 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Berkeley-Nest | Starling LM 7B 알파 | huggingface-llm-berkeley-nest-starling-lm-7b-alpha | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | 바라트제나이 | Param2-17B-A2.4B-사고 | huggingface-llm-param2-17b-a2-4b-thinking | 텍스트 생성 | | 아니요 | ml.g7e.2xlarge, ml.g7e.4xlarge, ml.g7e.8xlarge | | 빅코드 | StarCoder | huggingface-llm-starcoder | 텍스트 생성 | bigcode-openrail-m | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 빅코드 | StarCoderBase | huggingface-llm-starcoderbase | 텍스트 생성 | bigcode-openrail-m | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 빅사이언스 | 블룸 1b1 | huggingface-textgeneration-bloom-1b1 | 텍스트 생성 | bigscience-bloom-rail-1.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 빅사이언스 | Bloom 3B | huggingface-textgeneration1-bloom-3b | 텍스트 생성 | bigscience-bloom-rail-1.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 빅사이언스 | Bloom 7B1 | huggingface-textgeneration1-bloom-7b1 | 텍스트 생성 | bigscience-bloom-rail-1.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 빅사이언스 | Bloomz 1b7 | huggingface-textgeneration-bloomz-1b7 | 텍스트 생성 | bigscience-bloom-rail-1.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 빅사이언스 | BloomZ 7B1 FP16 | huggingface-textgeneration1-bloomz-7b1-fp16 | 텍스트 생성 | bigscience-bloom-rail-1.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 빙수 | Bingsu 내 한국의 안정적인 확산 v1 5 | huggingface-txt2img-bingsu-my-korean-stable-diffusion-v1-5 | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | Black-Forest-Labs | 블랙 포리스트 랩 FLUX.1[스켈] | huggingface-txt2img-black-forest-labs-flux-1-schnell | Text-to-Image | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | 인지 계산 | Dolphin 2.2.1 Mistral 7B | huggingface-llm-dolphin-2-2-1-mistral-7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | 인지 계산 | Dolphin 2.5 Mistral 8 7B | huggingface-llm-dolphin-2-5-mixtral-8x7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge | | 인지 계산 | Dolphin 2.7 Mistral 8 7B | huggingface-llm-dolphin-2-7-mixtral-8x7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge | | 인지 계산 | Dolphin 2.9 Llama 3 8b | huggingface-llm-cognitive-dolphin-29-llama3-8b | 텍스트 생성 | 기타 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Cohereforai | Aya 101 | huggingface-llm-aya-101 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 교차 인코더 | 크로스 인코더 Nli Deberta Base | huggingface-zstc-cross-encoder-nli-deberta-base | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 교차 인코더 | 크로스 인코더 Nli Distilroberta Base | huggingface-zstc-cross-encoder-nli-distilroberta-base | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 교차 인코더 | 크로스 인코더 Nli MiniLM2 L6 H768 | huggingface-zstc-cross-encoder-nli-minilm2-l6-h768 | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 교차 인코더 | 크로스 인코더 Nli Roberta Base | huggingface-zstc-cross-encoder-nli-roberta-base | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Cyberagent | CyberAgentLM2-7B-Chat(CALM2-7B-Chat) | huggingface-llm-calm2-7b-chat-bf16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Databricks | DBRX Base | huggingface-llm-dbrx-base | 텍스트 생성 | databricks-open-model | 아니요 | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Databricks | DBRX Instruct | huggingface-llm-dbrx-instruct | 텍스트 생성 | databricks-open-model | 아니요 | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Databricks | Dolly V2 12b BF16 | huggingface-textgeneration-dolly-v2-12b-bf16 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Databricks | Dolly V2 3b BF16 | huggingface-textgeneration-dolly-v2-3b-bf16 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Deepseek-Ai | DeepSeek-OCR | deepseek-vlm-deepseek-ocr | Image-Text-to-Text | mit | 아니요 | ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.16xlarge, ml.g6e.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6xlarge, ml.g6e.g6xlarge, ml | | Deepseek-Ai | DeepSeek-R1 | deepseek-llm-r1 | 텍스트 생성 | mit | 아니요 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-0528 | deepseek-llm-r1-0528 | 텍스트 생성 | mit | 아니요 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-70B | deepseek-llm-r1-distill-llama-70b | 텍스트 생성 | mit | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-8B | deepseek-llm-r1-distill-llama-8b | 텍스트 생성 | mit | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-1.5B | deepseek-llm-r1-distill-qwen-1-5b | 텍스트 생성 | mit | 예 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-14B | deepseek-llm-r1-distill-qwen-14b | 텍스트 생성 | mit | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-32B | deepseek-llm-r1-distill-qwen-32b | 텍스트 생성 | mit | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-7B | deepseek-llm-r1-distill-qwen-7b | 텍스트 생성 | mit | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | Deepseek-Ai | DeepSeek-V3.1 | deepseek-llm-deepseek-v3-1 | 텍스트 생성 | mit | 아니요 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-V3.2 | deepseek-llm-deepseek-v3-2 | 텍스트 생성 | mit | 아니요 | ml.p5en.48xlarge | | 배포 | DistilBERT 기본 케이스 | huggingface-tc-distilbert-base-cased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilBERT 기본 케이스 | huggingface-spc-distilbert-base-cased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilBERT 기본 케이스 | huggingface-eqa-distilbert-base-cased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilBERT 기본 다국어 대/소문자 | huggingface-tc-distilbert-base-multilingual-cased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilBERT 기본 다국어 대/소문자 | huggingface-spc-distilbert-base-multilingual-cased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilBERT 기본 다국어 대/소문자 | huggingface-eqa-distilbert-base-multilingual-cased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilGPT 2 | huggingface-textgeneration-distilgpt2 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 배포 | DistilRoBERTa 기본 | huggingface-tc-distilroberta-base | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | DistilRoBERTa 기본 | huggingface-eqa-distilroberta-base | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | 질문 응답 | huggingface-eqa-distilbert-base-uncased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | 문장 쌍 분류 | huggingface-spc-distilbert-base-uncased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 배포 | 텍스트 분류 | huggingface-tc-distilbert-base-uncased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 탄력적 | Distilbert Base Uncased | huggingface-ner-distilbert-base-uncased-finetuned-conll03-eng | 토큰 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 탄력적 | 개체명 인식 | huggingface-ner-distilbert-base-cased-finetuned-conll03-english | 토큰 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 탄력적 | 개체명 인식 | huggingface-ner-distilbert-base-cased-finetuned-conll03-eng | 토큰 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 에루테라이 | GOT-J 6B | huggingface-textgeneration1-gpt-j-6b | 텍스트 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 에루테라이 | GPT-Neo 125M | huggingface-textgeneration1-gpt-neo-125m | 텍스트 생성 | mit | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 에루테라이 | gpt-neox-20b | huggingface-textgeneration2-gpt-neox-20b-fp16 | 텍스트 생성 | Apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | 에루테라이 | Pythia 160m 중복 | huggingface-llm-eleutherai-pythia-160m-deduped | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | 에루테라이 | Pythia 7m Deduped | huggingface-llm-eleutherai-pythia-70m-deduped | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | 엘라이자 | ELYZA-japanese-Llama-2-13b-chat | huggingface-llm-elyza-japanese-llama-2-13b-chat | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 엘라이자 | ELYZA-japanese-Llama-2-13b-fast-chat | huggingface-llm-elyza-japanese-llama-2-13b-fast-chat | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 엘라이자 | ELYZA-japanese-Llama-2-7b-chat | huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16 | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.xlarge | | 엘라이자 | ELYZA-japanese-Llama-2-7b-fast-chat | huggingface-llm-elyza-japanese-llama-2-7b-fast-chat-bf16 | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Emrecan | Emrecan Bert Base 터키어 Cased Allnli Tr | huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr | 제로샷 분류 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebook | 제로샷 텍스트 분류 | huggingface-zstc-facebook-bart-large-mnli | 제로샷 분류 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 기본 | huggingface-tc-roberta-base | 텍스트 분류 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 기본 | huggingface-spc-roberta-base | Fill-Mask | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 기본 | huggingface-eqa-roberta-base | 질문 응답 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 라지 | huggingface-tc-roberta-large | 텍스트 분류 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 라지 | huggingface-spc-roberta-large | Fill-Mask | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | RoBERTa 라지 | huggingface-eqa-roberta-large | 질문 응답 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM CLM 영어-독일어 | huggingface-tc-xlm-clm-ende-1024 | 텍스트 분류 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM CLM 영어-독일어 | huggingface-spc-xlm-clm-ende-1024 | Fill-Mask | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 15 XNLI 언어 | huggingface-spc-xlm-mlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 영어-독일어 | huggingface-tc-xlm-mlm-ende-1024 | 텍스트 분류 | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 영어-독일어 | huggingface-spc-xlm-mlm-ende-1024 | Fill-Mask | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 영어-루마니아어 | huggingface-tc-xlm-mlm-enro-1024 | 텍스트 분류 | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM 영어-루마니아어 | huggingface-spc-xlm-mlm-enro-1024 | Fill-Mask | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 XNLI 언어 | huggingface-tc-xlm-mlm-tlm-xnli15-1024 | 텍스트 분류 | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 XNLI 언어 | huggingface-spc-xlm-mlm-tlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 피티버스 | Fictiverse Stable Diffusion BalloonArt 모델 | huggingface-txt2img-fictiverse-stable-diffusion-balloonart | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 피티버스 | Fictiverse Stable Diffusion Microscope 모델 | huggingface-txt2img-fictiverse-stable-diffusion-micro-model | Text-to-Image | 오픈레일 | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | 피티버스 | Fictiverse Stable Diffusion PaperCut 모델 | huggingface-txt2img-fictiverse-stable-diffusion-papercut-model | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | 피티버스 | Fictiverse Stable Diffusion VoxelArt 모델 | huggingface-txt2img-fictiverse-stable-diffusion-voxelart-model | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Google | Bigbird Pegasus Large Arxiv | huggingface-summarization-bigbird-pegasus-large-arxiv | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google | Bigbird Pegasus Large Pubmed | huggingface-summarization-bigbird-pegasus-large-pubmed | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google | Flan-T5 Base | huggingface-text2text-flan-t5-base | Text2Text 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 Large | huggingface-text2text-flan-t5-large | Text2Text 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 Small | huggingface-text2text-flan-t5-small | Text2Text 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 XL | huggingface-text2text-flan-t5-xl | Text2Text 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Flan-T5 XXL | huggingface-text2text-flan-t5-xxl | Text2Text 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 27B | huggingface-llm-gemma-2-27b | 텍스트 생성 | 젬마 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 27B 지침 | huggingface-llm-gemma-2-27b-instruct | 텍스트 생성 | 젬마 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 2B | huggingface-llm-gemma-2-2b | 텍스트 생성 | 젬마 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Google | Gemma 2 2B 지침 | huggingface-llm-gemma-2-2b-instruct | 텍스트 생성 | 젬마 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Google | Gemma 2 9B | huggingface-llm-gemma-2-9b | 텍스트 생성 | 젬마 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2 9B 지침 | huggingface-llm-gemma-2-9b-instruct | 텍스트 생성 | 젬마 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Google | Gemma 2B 지침 | huggingface-llm-gemma-2b-instruct | 텍스트 생성 | 젬마 | 예 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Google | Gemma 3 1B 지침 | huggingface-llm-gemma-3-1b-instruct | 텍스트 생성 | 젬마 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Gemma 3 27B 지침 | huggingface-vlm-gemma-3-27b-instruct | Image-Text-to-Text | 젬마 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Google | Gemma 3 4B 지침 | huggingface-vlm-gemma-3-4b-instruct | Image-Text-to-Text | 젬마 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Google | Gemma-2b | huggingface-llm-gemma-2b | 텍스트 생성 | 젬마 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | Google | gemma-4-26b-a4b-it | huggingface-vlm-gemma-4-26b-a4b-it | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Google | gemma-4-31b-it | huggingface-vlm-gemma-4-31b-it | Image-Text-to-Text | Apache-2.0 | 아니요 | ml.g6.24xlarge | | Google | gemma-4-e4b-it | huggingface-vlm-gemma-4-e4b-it | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Google | Gemma-7b | huggingface-llm-gemma-7b | 텍스트 생성 | 젬마 | 예 | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Google | gemma-7b-it | huggingface-llm-gemma-7b-instruct | 텍스트 생성 | 젬마 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Google-Bert | BERT Base Cased | huggingface-tc-bert-base-cased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Cased | huggingface-spc-bert-base-cased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Cased | huggingface-eqa-bert-base-cased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-tc-bert-base-multilingual-cased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-spc-bert-base-multilingual-cased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Multilingual Cased | huggingface-eqa-bert-base-multilingual-cased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT 기본 다국어 대/소문자 미지정 | huggingface-tc-bert-base-multilingual-uncased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT 기본 다국어 대/소문자 미지정 | huggingface-spc-bert-base-multilingual-uncased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT 기본 다국어 대/소문자 미지정 | huggingface-eqa-bert-base-multilingual-uncased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-tc-bert-base-uncased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-spc-bert-base-uncased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Base Uncased | huggingface-eqa-bert-base-uncased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-tc-bert-large-cased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-spc-bert-large-cased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased | huggingface-eqa-bert-large-cased | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased Whole Word Masking | huggingface-spc-bert-large-cased-whole-word-masking | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Cased Whole Word Masking | huggingface-eqa-bert-large-cased-whole-word-masking | 질문 응답 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased | huggingface-tc-bert-large-uncased | 텍스트 분류 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased | huggingface-spc-bert-large-uncased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | BERT Large Uncased Whole Word Masking | huggingface-spc-bert-large-uncased-whole-word-masking | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-Bert | 마스크 채우기 | huggingface-fillmask-bert-base-uncased | Fill-Mask | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | 기계 번역 | huggingface-translation-t5-small | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | t5 Base en de | huggingface-translation-t5-base | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Google-T5 | t5 라지 en de | huggingface-translation-t5-large | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 그라데이션 | Llama-3 8B 그라데이션 지침 1048k | huggingface-llm-llama-3-8b-instruct-gradient | 텍스트 생성 | llama3 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | 그라데이션 | Llama-3 8B 그라데이션 지침 262k | huggingface-llm-gradientai-llama-3-8B-instruct-262k | 텍스트 생성 | llama3 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Helsinki-Nlp | 헬싱키 opus en es | huggingface-translation-opus-mt-en-es | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Helsinki-Nlp | 헬싱키 오푸스 en vi | huggingface-translation-opus-mt-en-vi | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Helsinki-Nlp | Helsinki opus mul en | huggingface-translation-opus-mt-mul-en | 번역 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Huggingfaceh4 | HuggingFaceH4 zephyr-orpo-141b-A35b-v0.1 | huggingface-llm-huggingfaceh4-zephyr-orpo-141b-a35b-v01 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Huggingfaceh4 | 스타 채팅 알파 | huggingface-llm-huggingfaceh4-starchat-alpha | 텍스트 생성 | bigcode-openrail-m | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Huggingfaceh4 | 스타 채팅 베타 | huggingface-llm-huggingfaceh4-starchat-beta | 텍스트 생성 | bigcode-openrail-m | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Huggingfaceh4 | Zephyr 7B 베타 | huggingface-llm-huggingfaceh4-zephyr-7b-beta | 텍스트 생성 | mit | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Ibm | 품질 관리형 Paraphrase 생성 | huggingface-text2text-qcpg-sentences | Text2Text 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 아이디어-Ccnl | IDEA CCNL Taiyi Stable Diffusion 1B 중국 EN v0.1 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-en-v01 | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 아이디어-Ccnl | IDEA CCNL Taiyi Stable Diffusion 1B 중국어 v0.1 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-v0-1 | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 내부 부동 소수점 | E5 기본 | huggingface-sentencesimilarity-e5-base | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 내부 부동 소수점 | E5 기본 V2 | huggingface-sentencesimilarity-e5-base-v2 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 내부 부동 소수점 | E5 라지 V2 | huggingface-sentencesimilarity-e5-large-v2 | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 내부 부동 소수점 | 다국어 E5 기반 | huggingface-sentencesimilarity-multilingual-e5-base | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Intfloat | 다국어 E5 라지 | huggingface-sentencesimilarity-multilingual-e5-large | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 랑보트 | Langboat Guohua Diffusion | huggingface-txt2img-langboat-guohua-diffusion | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | 소문자 | Lighteternal Nli Xlm R 그리스어 | huggingface-zstc-lighteternal-nli-xlm-r-greek | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Meta | Llama-2-7b-hf | meta-textgeneration-llama-2-7b | 텍스트 생성 | llama2 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.1-70B-Instruct | meta-textgeneration-llama-3-1-70b-instruct | 텍스트 생성 | llama3.1 | 예 | ml.g6e.48xlarge, ml.p5en.48xlarge | | Meta | Llama-3.1-8B-Instruct | meta-textgeneration-llama-3-1-8b-instruct | 텍스트 생성 | llama3.1 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.2-1B | meta-textgeneration-llama-3-2-1b | 텍스트 생성 | llama3.2 | 예 | ml.g4dn.12xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p3.16xlarge, ml.p4d.24xlarge | | Meta | Llama-3.2-1B-Instruct | meta-textgeneration-llama-3-2-1b-instruct | 텍스트 생성 | llama3.2 | 예 | ml.g4dn.12xlarge, ml.g5.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-3.2-3B | meta-textgeneration-llama-3-2-3b | 텍스트 생성 | llama3.2 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p3.16xlarge, ml.p5en.48xlarge | | Meta | Llama-3.2-3B-Instruct | meta-textgeneration-llama-3-2-3b-instruct | 텍스트 생성 | llama3.2 | 예 | ml.g5.24xlarge, ml.g6.24xlarge, ml.g6e.48xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Llama-Guard-3-1B | meta-textgeneration-llama-guard-3-1b | 텍스트 생성 | llama3.2 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge, ml.p4d.24xlarge | | Meta | Llama-Guard-3-8B | meta-textgeneration-llama-guard-3-8b | 텍스트 생성 | llama3.1 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 13B | meta-textgeneration-llama-codellama-13b | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 13B Instruct | meta-textgeneration-llama-codellama-13b-instruct | 텍스트 생성 | llama2 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 13B Python | meta-textgeneration-llama-codellama-13b-python | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 34B | meta-textgeneration-llama-codellama-34b | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 34B Instruct | meta-textgeneration-llama-codellama-34b-instruct | 텍스트 생성 | llama2 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 34B Python | meta-textgeneration-llama-codellama-34b-python | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 70B | meta-textgeneration-llama-codellama-70b | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 70B Instruct | meta-textgeneration-llama-codellama-70b-instruct | 텍스트 생성 | llama2 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 70B Neuron | meta-textgenerationneuron-llama-codellama-70b | 텍스트 생성 | llama2 | 아니요 | ml.inf2.48xlarge | | Meta | 메타 코드 Llama 70B Python | meta-textgeneration-llama-codellama-70b-python | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 7B | meta-textgeneration-llama-codellama-7b | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.2xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 7B Instruct | meta-textgeneration-llama-codellama-7b-instruct | 텍스트 생성 | llama2 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 7B Neuron | meta-textgenerationneuron-llama-codellama-7b | 텍스트 생성 | llama2 | 아니요 | ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | 메타 코드 Llama 7B Python | meta-textgeneration-llama-codellama-7b-python | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | 메타 코드 Llama 7B Python Neuron | meta-textgenerationneuron-llama-codellama-7b-python | 텍스트 생성 | llama2 | 아니요 | ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 2 13B | meta-textgeneration-llama-2-13b | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 2 13B Chat | meta-textgeneration-llama-2-13b-f | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 2 13B Chat Neuron | meta-textgenerationneuron-llama-2-13b-f | 텍스트 생성 | llama2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge | | Meta | Meta Llama 2 13B Neuron | meta-textgenerationneuron-llama-2-13b | 텍스트 생성 | llama2 | 예 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge | | Meta | Meta Llama 2 70B | meta-textgeneration-llama-2-70b | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat | meta-textgeneration-llama-2-70b-f | 텍스트 생성 | llama2 | 예 | ml.g5.48xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat Neuron | meta-textgenerationneuron-llama-2-70b-f | 텍스트 생성 | llama2 | 아니요 | ml.inf2.48xlarge | | Meta | Meta Llama 2 70B Neuron | meta-textgenerationneuron-llama-2-70b | 텍스트 생성 | llama2 | 아니요 | ml.inf2.48xlarge | | Meta | Meta Llama 2 7B Chat | meta-textgeneration-llama-2-7b-f | 텍스트 생성 | llama2 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 2 7B Chat Neuron | meta-textgenerationneuron-llama-2-7b-f | 텍스트 생성 | llama2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 2 7B Neuron | meta-textgenerationneuron-llama-2-7b | 텍스트 생성 | llama2 | 예 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | Meta | Meta Llama 3 1 8B Neuron | meta-textgenerationneuron-llama-3-1-8b | 텍스트 생성 | llama3.1 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3 70B | meta-textgeneration-llama-3-70b | 텍스트 생성 | llama3 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3 70B Instruct | meta-textgeneration-llama-3-70b-instruct | 텍스트 생성 | llama3 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3 70B Instruct Neuron | meta-textgenerationneuron-llama-3-70b-instruct | 텍스트 생성 | llama3 | 아니요 | ml.trn1.32xlarge | | Meta | Meta Llama 3 70B Neuron | meta-textgenerationneuron-llama-3-70b | 텍스트 생성 | llama3 | 아니요 | ml.trn1.32xlarge | | Meta | Meta Llama 3 8B Instruct | meta-textgeneration-llama-3-8b-instruct | 텍스트 생성 | llama3 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3 8B Instruct Neuron | meta-textgenerationneuron-llama-3-8b-instruct | 텍스트 생성 | llama3 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge | | Meta | Meta Llama 3 8B Neuron | meta-textgenerationneuron-llama-3-8b | 텍스트 생성 | llama3 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge | | Meta | Meta Llama 3.1 405B FP8 | meta-textgeneration-llama-3-1-405b-fp8 | 텍스트 생성 | llama3.1 | 예 | ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.1 405B Instruct FP8 | meta-textgeneration-llama-3-1-405b-instruct-fp8 | 텍스트 생성 | llama3.1 | 예 | ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.1 70B | meta-textgeneration-llama-3-1-70b | 텍스트 생성 | llama3.1 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.1 70B Instruct Neuron | meta-textgenerationneuron-llama-3-1-70b-instruct | 텍스트 생성 | llama3.1 | 아니요 | ml.inf2.48xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.1 70B Neuron | meta-textgenerationneuron-llama-3-1-70b | 텍스트 생성 | llama3.1 | 아니요 | ml.inf2.48xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.1 8B | meta-textgeneration-llama-3-1-8b | 텍스트 생성 | llama3.1 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.1 8B Instruct Neuron | meta-textgenerationneuron-llama-3-1-8b-instruct | 텍스트 생성 | llama3.1 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 11B 비전 | meta-vlm-llama-3-2-11b-vision | Image-Text-to-Text | llama3.2 | 예 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.2 11B Vision 지침 | meta-vlm-llama-3-2-11b-vision-instruct | Image-Text-to-Text | llama3.2 | 예 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.2 1B Instruct Neuron | meta-textgenerationneuron-llama-3-2-1b-instruct | 텍스트 생성 | llama3.2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 1B 뉴런 | meta-textgenerationneuron-llama-3-2-1b | 텍스트 생성 | llama3.2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 3B Instruct Neuron | meta-textgenerationneuron-llama-3-2-3b-instruct | 텍스트 생성 | llama3.2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 3B Neuron | meta-textgenerationneuron-llama-3-2-3b | 텍스트 생성 | llama3.2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 90B Vision | meta-vlm-llama-3-2-90b-vision | Image-Text-to-Text | llama3.2 | 예 | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.2 90B Vision 지침 | meta-vlm-llama-3-2-90b-vision-instruct | Image-Text-to-Text | llama3.2 | 예 | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 3.3 70B Instruct | meta-textgeneration-llama-3-3-70b-instruct | 텍스트 생성 | llama3.3 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama 4 Maverick 17B 128E FP8 | meta-vlm-llama-4-maverick-17b-128e-instruct-fp8 | Image-Text-to-Text | llama4 | 아니요 | ml.p5en.48xlarge | | Meta | Meta Llama 4 Maverick 17B 128E 지침 | meta-vlm-llama-4-maverick-17b-128e-instruct | Image-Text-to-Text | llama4 | 아니요 | ml.p5en.48xlarge | | Meta | Meta Llama 4 Scout 17B 16E 지침 | meta-vlm-llama-4-scout-17b-16e-instruct | Image-Text-to-Text | llama4 | 예 | ml.g6e.48xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Meta | Meta Llama Guard 3 11B 비전 | meta-vlm-llama-guard-3-11b-vision | Image-Text-to-Text | llama3.2 | 아니요 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Meta | Meta Llama Guard 3 1B Neuron | meta-textgenerationneuron-llama-guard-3-1b | 텍스트 생성 | llama3.2 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama Guard 3 8B Neuron | meta-textgenerationneuron-llama-guard-3-8b | 텍스트 생성 | llama3.1 | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.trn1.2xlarge, ml.trn1.32xlarge, ml.trn1n.32xlarge | | Meta | Meta Llama 가드 7B | meta-textgeneration-llama-guard-7b | 텍스트 생성 | llama2 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | Meta | Meta Llama 프롬프트 가드 86M | meta-tc-llama-prompt-guard-86m | 텍스트 분류 | llama3.1 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Meta | Meta SAM 2.1 Hiera Base Plus | meta-vs-sam-2-1-hiera-base-plus | 이미지 세분화 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera 라지 | meta-vs-sam-2-1-hiera-large | 이미지 세분화 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera 스몰 | meta-vs-sam-2-1-hiera-small | 이미지 세분화 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera Tiny | meta-vs-sam-2-1-hiera-tiny | 이미지 세분화 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Meta | Meta-Llama-3-8B | meta-textgeneration-llama-3-8b | 텍스트 생성 | llama3 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p3.8xlarge, ml.p4d.24xlarge | | Microsoft | Phi-2 | huggingface-llm-phi-2 | 텍스트 생성 | mit | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Microsoft | Phi-3-Mini-128K-Instruct | huggingface-llm-phi-3-mini-128k-instruct | 텍스트 생성 | mit | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Microsoft | Phi-3-mini-4k-instruct | huggingface-llm-phi-3-mini-4k-instruct | 텍스트 생성 | mit | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Microsoft | Phi-3.5-mini-instruct | huggingface-llm-phi-3-5-mini-instruct | 텍스트 생성 | mit | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge | | Microsoft | 테이블 변환기 감지 | huggingface-od-microsoft-table-transformer-detection | 객체 감지 | mit | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | 미니맥사이 | MiniMax-M2 | huggingface-llm-minimax-m2 | 텍스트 생성 | 기타 | 아니요 | ml.p4de.24xlarge | | 미니맥사이 | MiniMax-M2.1 | huggingface-llm-minimax-m2-1 | 텍스트 생성 | 기타 | 아니요 | ml.p4de.24xlarge, ml.p5.48xlarge | | 미니맥사이 | MiniMax-M2.5 | huggingface-llm-minimax-m2-5 | 텍스트 생성 | 기타 | 아니요 | ml.p5.48xlarge | | 미니맥사이 | MiniMax-M2.7 | huggingface-llm-minimax-m2-7 | 텍스트 생성 | 기타 | 아니요 | ml.p5en.48xlarge | | Mistralai | Mistral 7B Instruct Neuron | huggingface-llmneuron-mistral-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.inf2.8xlarge, ml.inf2.xlarge | | Mistralai | Mistral 7B Neuron | huggingface-llmneuron-mistral-7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.inf2.8xlarge, ml.inf2.xlarge | | Mistralai | Mistral Nemo Base 2407 | huggingface-llm-mistral-nemo-base-2407 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Mistralai | Mistral Nemo Instruct 2407 | huggingface-llm-mistral-nemo-instruct-2407 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Mistralai | Mistral Pixtral-12B-2409 | huggingface-vlm-mistral-pixtral-12b-2409 | Image-Text-to-Text | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-7B-Instruct-v0.2 | huggingface-llm-mistral-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g6.24xlarge, ml.g6e.2xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-v3 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-instruct-v3 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-7B-v0.1 | huggingface-llm-mistral-7b | 텍스트 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mistral-Small-24B-Instruct-2501 | huggingface-llm-mistral-small-24B-Instruct-2501 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | Mistralai | Mistral-Small-3.1-24B-Base-2503 | huggingface-vlm-mistral-small-3-1-24b-base-2503 | Image-Text-to-Text | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge | | Mistralai | Mistral-Small-3.2-24B-Instruct-2506 | huggingface-vlm-mistral-small-3-2-24b-instruct-2506 | Image-Text-to-Text | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge | | Mistralai | Mixtral 8x7B | huggingface-llm-mixtral-8x7b | 텍스트 생성 | apache-2.0 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | Mistralai | Mixtral-8x22B V1 | huggingface-llm-mixtral-8x22B | 텍스트 생성 | apache-2.0 | 아니요 | ml.p4d.24xlarge, ml.p4de.24xlarge | | Mistralai | Mixtral-8x22B-Instruct-v0.1 | huggingface-llm-mistralai-mixtral-8x22B-instruct-v0-1 | 텍스트 생성 | apache-2.0 | 아니요 | ml.p4de.24xlarge, ml.p5.48xlarge | | Mistralai | Mixtral-8x7B-Instruct-v0.1 | huggingface-llm-mixtral-8x7b-instruct | 텍스트 생성 | apache-2.0 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | 문호타이 | Kimi-K2.5 | huggingface-llm-kimi-k2-5 | 텍스트 생성 | 기타 | 아니요 | ml.p5en.48xlarge | | 모리차이어 | MoritzLaurer MDeBERTa V3 Base Xnli 다국어 Nli 2mil7 | huggingface-zstc-moritzlaurer-mdeberta3base-xnli-mling-nli-2m7 | 제로샷 분류 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mosaicml | MPT 7B BF16 | huggingface-textgeneration1-mpt-7b-bf16 | 텍스트 생성 | Apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Mosaicml | MPT 7B 지침 BF16 | huggingface-textgeneration1-mpt-7b-instruct-bf16 | 텍스트 생성 | CC-BY-SA-3.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Mrm8488 | Bert Small2bert | huggingface-summarization-bert-small2bert-cnn-dailymail-summ | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 금융 텍스트 임베딩 | mxnet-tcembedding-robertafin-base-uncased | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-Large | mxnet-tcembedding-robertafin-large-uncased | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-WIKI-Base | mxnet-tcembedding-robertafin-base-wiki-uncased | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | RoBERTa-SEC-WIKI-Large | mxnet-tcembedding-robertafin-large-wiki-uncased | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Naclbit | Naclbit Trinart Stable Diffusion V2 | huggingface-txt2img-naclbit-trinart-stable-diffusion-v2 | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 나르실 | Narsil Deberta 대형 Mnli 제로 Cl | huggingface-zstc-narsil-deberta-large-mnli-zero-cls | 제로샷 분류 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 넥사이 | NexaAI Octopus-v2 | huggingface-llm-nexaaidev-octopus-v2 | 텍스트 생성 | cc-by-nc-4.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Nexusflow | Nexusflow Starling-LM-7B-beta | huggingface-llm-nexusflow-starling-lm-7b-beta | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Nousresearch | Hermes 2 Pro-Llama-3 8B | huggingface-llm-nousresearch-hermes-2-pro-llama-3-8B | 텍스트 생성 | llama3 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Nousresearch | Nous Hermes 2 SOLAR 10.7B | huggingface-llm-nousresearch-nous-hermes-2-solar-10-7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Nova | Nova 2.0 Lite | nova-textgeneration-lite-v2 | 텍스트 생성 | AWS 서비스 약관 | 예 | | | Nova | Nova Lite | nova-textgeneration-lite | 텍스트 생성 | AWS 서비스 약관 | 예 | | | Nova | Nova Micro | nova-textgeneration-micro | 텍스트 생성 | AWS 서비스 약관 | 예 | | | Nova | Nova Pro | nova-textgeneration-pro | 텍스트 생성 | AWS 서비스 약관 | 예 | | | Nvidia | Nvidia Llama3-ChatQA-1.5 8B | huggingface-llm-nvidia-llama3-chatqa-1-5-8B | 텍스트 생성 | llama3 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Nvidia | NVIDIA-Nemotron-3-Nano-30B-A3B-BF16 | huggingface-reasoning-nvidia-nemotron-3-nano-30b-a3b-bf16 | 추론 | 기타 | 아니요 | ml.g6e.24xlarge, ml.g7e.12xlarge | | Nvidia | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | huggingface-reasoning-nvidia-nemotron-3-super-120b-a12b-fp8 | 추론 | 기타 | 아니요 | ml.g7e.24xlarge | | Nvidia | nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | huggingface-vlm-nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | Image-Text-to-Text | 기타 | 아니요 | ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge | | Openai | gpt-oss-120b | openai-reasoning-gpt-oss-120b | 추론 | apache-2.0 | 예 | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Openai | gpt-oss-20b | openai-reasoning-gpt-oss-20b | 추론 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Openai | 귓속말 베이스 | huggingface-asr-whisper-base | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 라지 | huggingface-asr-whisper-large | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 대형 V2 | huggingface-asr-whisper-large-v2 | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 라지 V3 | huggingface-asr-whisper-large-v3 | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | Whisper Large V3 Turbo | huggingface-asr-whisper-large-v3-turbo | 자동 음성 인식 | mit | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 중간 | huggingface-asr-whisper-medium | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 스몰 | huggingface-asr-whisper-small | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai | 귓속말 작은 | huggingface-asr-whisper-tiny | 자동 음성 인식 | apache-2.0 | 아니요 | ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Openai-Community | GPT 2 | huggingface-textgeneration-gpt2 | 텍스트 생성 | mit | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Openai-Community | GPT-2 XL | huggingface-textgeneration1-gpt-2-xl | 텍스트 생성 | mit | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Openai-Community | RoBERTa 기본 OpenAI 감지기 | huggingface-tc-roberta-base-openai-detector | 텍스트 분류 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | RoBERTa 기본 OpenAI 감지기 | huggingface-spc-roberta-base-openai-detector | Fill-Mask | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | RoBERTa 기본 OpenAI 감지기 | huggingface-eqa-roberta-base-openai-detector | 질문 응답 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | RoBERTa 대형 OpenAI 감지기 | huggingface-tc-roberta-large-openai-detector | 텍스트 분류 | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openai-Community | RoBERTa 대형 OpenAI 감지기 | huggingface-spc-roberta-large-openai-detector | Fill-Mask | mit | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Openlm-Research | Llama 7B V2 열기 | huggingface-llm-openlm-research-open-llama-7b-v2 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | 필스미드 | 바트 라지 CNN 심섬 | huggingface-summarization-bart-large-cnn-samsum | 텍스트 요약 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 필스미드 | Samsum 데이터세트에서 미세 조정된 Flan-T5 기본 모델 | huggingface-text2text-flan-t5-base-samsum | Text2Text 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Pytorch | Alexa TM 20B | pytorch-textgeneration1-alexa20b | 텍스트 생성 | amazon-software-license | 아니요 | ml.g4dn.12xlarge, ml.g5.16xlarge, ml.p3.16xlarge, ml.p3.8xlarge | | 쿠엔 | QVQ 72B 미리 보기 | huggingface-vlm-qvq-72b-preview | Image-Text-to-Text | 기타 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2 0.5B | huggingface-llm-qwen2-0-5b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2 0.5B 지침 | huggingface-llm-qwen2-0-5b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2-1.5B | huggingface-llm-qwen2-1-5b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | 쿠엔 | Qwen2-1.5B-Instruct | huggingface-llm-qwen2-1-5b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.2xlarge, ml.g5.xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p3.2xlarge | | 쿠엔 | Qwen2-7B | huggingface-llm-qwen2-7b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 쿠엔 | Qwen2-7B-Instruct | huggingface-llm-qwen2-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge | | 쿠엔 | Qwen2-VL-7B-Instruct | huggingface-vlm-qwen2-vl-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 쿠엔 | Qwen2.5 14B 지침 | huggingface-llm-qwen2-5-14b-instruct | 텍스트 생성 | apache-2.0 | 예 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2.5 32B 지침 | huggingface-llm-qwen2-5-32b-instruct | 텍스트 생성 | apache-2.0 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2.5 Coder 32B 지침 | huggingface-llm-qwen2-5-coder-32b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2.5 Coder 7B 지침 | huggingface-llm-qwen2-5-coder-7b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.16xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen2.5-72B-Instruct | huggingface-llm-qwen2-5-72b-instruct | 텍스트 생성 | 기타 | 예 | ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | 쿠엔 | Qwen2.5-7B-Instruct | huggingface-llm-qwen2-5-7b-instruct | 텍스트 생성 | apache-2.0 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge | | 쿠엔 | Qwen3 14B | huggingface-reasoning-qwen3-14b | 추론 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen3-0.6B | huggingface-reasoning-qwen3-06b | 추론 | apache-2.0 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.2xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | 쿠엔 | Qwen3-1.7B | huggingface-reasoning-qwen3-1-7b | 추론 | apache-2.0 | 예 | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.g6xlarge, ml.g6e.g6xlarge, ml. | | 쿠엔 | Qwen3-30B-A3B | huggingface-reasoning-qwen3-30b-a3b | 추론 | apache-2.0 | 아니요 | ml.g5.24xlarge | | 쿠엔 | Qwen3-30B-A3B-Instruct-2507 | huggingface-reasoning-qwen3-30b-a3b-instruct-2507 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4de.24xlarge | | 쿠엔 | Qwen3-30B-A3B-Thinking-2507 | huggingface-reasoning-qwen3-30b-a3b-thinking-2507 | 추론 | apache-2.0 | 아니요 | ml.g6e.12xlarge | | 쿠엔 | Qwen3-32B | huggingface-reasoning-qwen3-32b | 추론 | apache-2.0 | 예 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | 쿠엔 | Qwen3-4B | huggingface-reasoning-qwen3-4b | 추론 | apache-2.0 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.g6xlarge, ml.g6xlarge, ml.g6xlarge | | 쿠엔 | Qwen3-4B-Instruct-2507 | huggingface-reasoning-qwen3-4b-instruct-2507 | 추론 | apache-2.0 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen3-8B | huggingface-reasoning-qwen3-8b | 추론 | apache-2.0 | 예 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | 쿠엔 | Qwen3-Coder-30B-A3B-Instruct | huggingface-reasoning-qwen3-coder-30b-a3b-instruct | 추론 | apache-2.0 | 아니요 | ml.g6e.24xlarge | | 쿠엔 | Qwen3-Coder-Next | huggingface-reasoning-qwen3-coder-next | 추론 | apache-2.0 | 아니요 | ml.g7e.24xlarge, ml.g7e.48xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | 쿠엔 | Qwen3-Next-80B-A3B-Instruct | huggingface-reasoning-qwen3-next-80b-a3b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6e.48xlarge, ml.p4de.24xlarge | | 쿠엔 | Qwen3-VL-8B-Instruct | huggingface-vlm-qwen3-vl-8b-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge | | 쿠엔 | Qwen3.5\~0.8B | huggingface-vlm-qwen3-5-0-8b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6.4xlarge, ml.g6e.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.xlarge, ml.g7e.4xlarge | | 쿠엔 | Qwen3.5-27b | huggingface-vlm-qwen3-5-27b | 텍스트 생성 | apache-2.0 | 예 | ml.g6.48xlarge | | 쿠엔 | Qwen3.5-27B-FP8 | huggingface-vlm-qwen3-5-27b-fp8 | Image-Text-to-Text | apache-2.0 | 아니요 | ml.g6.24xlarge | | 쿠엔 | Qwen3.5-2B | huggingface-vlm-qwen3-5-2b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6.12xlarge, ml.g6e.12xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 쿠엔 | Qwen3.5-4B | huggingface-vlm-qwen3-5-4b | 텍스트 생성 | apache-2.0 | 예 | ml.g6.12xlarge, ml.g6e.24xlarge, ml.g7e.12xlarge, ml.g7e.2xlarge, ml.g7e.4xlarge, ml.g7e.8xlarge | | 쿠엔 | Qwen3.5-9b | huggingface-vlm-qwen3-5-9b | 텍스트 생성 | apache-2.0 | 예 | ml.g6.24xlarge, ml.g6.48xlarge | | 쿠엔 | Qwen3.6-27B | huggingface-vlm-qwen3-6-27b | Image-Text-to-Text | apache-2.0 | 아니요 | ml.g7e.12xlarge, ml.g7e.24xlarge, ml.g7e.48xlarge, ml.p5en.48xlarge | | 쿠엔 | Qwen3.6-35B-A3B | huggingface-vlm-qwen3-6-35b-a3b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | 쿠엔 | QwQ 32B | huggingface-llm-qwq-32b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge | | Recognai | Recognai Bert Base 스페인어 Wwm Cased Xnli | huggingface-zstc-recognai-bert-base-spanish-wwm-cased-xnli | 제로샷 분류 | mit | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Recognai | Recognai Zeroshot Selectra Medium | huggingface-zstc-recognai-zeroshot-selectra-medium | 제로샷 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 린나 | Rinna 일본어 GPT NeoX 3.6B 명령어 PPO | huggingface-llm-rinna-3-6b-instruction-ppo-bf16 | 텍스트 생성 | mit | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge | | Salesforce | Salesforce SFR-Embedding-2\_R | huggingface-textembedding-sfr-embedding-2-r | 텍스트 임베딩 | CC-BY-NC-4.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | Salesforce | Salesforce SFR-Embedding-Mistral | huggingface-textembedding-sfr-embedding-mistral | 텍스트 임베딩 | CC-BY-NC-4.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | 문장 변환기 | 모든 MiniLM L6 v2 | huggingface-textembedding-all-MiniLM-L6-v2 | 텍스트 임베딩 | Apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge | | 문장 변환기 | 모든 MiniLM L6 v2 | huggingface-sentencesimilarity-all-MiniLM-L6-v2 | 문장 유사성 | apache-2.0 | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 문장 변환기 | 다국어 MiniLM L12 v2의 구문 바꾸기 | huggingface-textembedding-paraphrase-multilingual-MiniLM-L12-v2 | 텍스트 임베딩 | Apache-2.0 | 아니요 | ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge | | Shenzhi-Wang | Llama3 8B 중국어 채팅 | huggingface-llm-shenzhi-wang-llama3-8B-chinese-chat | 텍스트 생성 | llama3 | 아니요 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Snowflake | Snowflake Arctic Instruct Vllm | huggingface-llm-snowflake-arctic-instruct-vllm | 텍스트 생성 | apache-2.0 | 아니요 | ml.p5.48xlarge | | 스피클레시 | Bielik-11B-v3.0-Instruct | huggingface-llm-bielik-11b-v3-0-instruct | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g6.12xlarge, ml.g6e.12xlarge, ml.g7e.2xlarge, ml.p4d.24xlarge, ml.p5en.48xlarge | | 샤일리퍼 | Distilbart CNN 12-6 | huggingface-summarization-distilbart-cnn-12-6 | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 샤일리퍼 | Distilbart CNN 6-6 | huggingface-summarization-distilbart-cnn-6-6 | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 샤일리퍼 | 텍스트 요약 | huggingface-summarization-distilbart-xsum-1-1 | 텍스트 요약 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | 안정성ai | 일본어 StableLM Instruct Alpha 7B v2 | model-textgenerationjp-japanese-stablelm-instruct-alpha-7b-v2 | 텍스트 생성 | Apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | 안정성ai | 안정적인 확산 2 | model-txt2img-stabilityai-stable-diffusion-v2 | Text-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 안정성ai | 안정적인 확산 2 깊이 FP16 | model-depth2img-stable-diffusion-2-depth-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p3.2xlarge | | 안정성ai | 안정적인 확산 2 FP16 | model-txt2img-stabilityai-stable-diffusion-v2-fp16 | Text-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion 2 인페인팅 | model-inpainting-stabilityai-stable-diffusion-2-inpainting | Image-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion 2 FP16 인페인팅 | model-inpainting-stabilityai-stable-diffusion2-inpainting-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.xlarge, ml.g5.2xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion 2 FP16 인페인팅 | model-inpainting-stabilityai-stable-diffusion-2-inpainting-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.g4dn.xlarge, ml.g5.2xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion 2.1 | model-txt2img-stabilityai-stable-diffusion-v2-1-base | Text-to-Image | creativeml-openrail\+\+-m | 예 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion 2.1 Neuron | huggingface-txt2imgneuron-stabilityai-stable-diffusion-v2-1 | Text-to-Image | creativeml-openrail\+\+-m | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | 안정성ai | Stable Diffusion x4 업스케일러 FP16 | model-upscaling-stabilityai-stable-diffusion-x4-upscaler-fp16 | Image-to-Image | openrail\+\+ | 아니요 | ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 안정성ai | Stable Diffusion XL 1.0(오픈 소스) | model-imagegeneration-stabilityai-stable-diffusion-xl-base-1-0 | Text-to-Image | openrail\+\+ | 아니요 | ml.g5.16xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 안정성ai | Stable Diffusion XL Base 1.0 Neuron | huggingface-txt2imgneuron-stabilityai-stable-diffusion-xlbase1 | Text-to-Image | openrail\+\+ | 아니요 | ml.inf2.24xlarge, ml.inf2.48xlarge, ml.inf2.8xlarge, ml.inf2.xlarge | | 스위스-아이 | Apertus 70B 2509 | huggingface-llm-apertus-70b-2509 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | 스위스-아이 | Apertus 70B 지침 2509 | huggingface-llm-apertus-70b-instruct-2509 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | 스위스-아이 | Apertus 8B 지침 2509 | huggingface-llm-apertus-8b-instruct-2509 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e6e.g6xlarge, ml.g6e.g6xlarge, ml.g6e.g6xlarge | | Thebloke | Mistral 7B OpenOrca AWQ | huggingface-llm-thebloke-mistral-7b-openorca-awq | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge | | Thebloke | Mistral 7B OpenOrca GPTQ | huggingface-llm-mistral-7b-openorca-gptq | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Thebloke | Mixtral 8x7B Instruct GPTQ | huggingface-llm-mixtral-8x7b-instruct-gptq | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Thenlper | GTE 라지 | huggingface-sentencesimilarity-gte-large | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | Thenlper | GTE 스몰 | huggingface-sentencesimilarity-gte-small | 문장 유사성 | mit | 예 | ml.c6i.xlarge, ml.g4dn.2xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.p3.2xlarge | | 티위에어어 | Falcon 180B BF16 | huggingface-llm-falcon-180b-bf16 | 텍스트 생성 | 알 수 없음 | 아니요 | ml.p4de.24xlarge, ml.p5.48xlarge | | 티위에어어 | Falcon 180B 채팅 BF16 | huggingface-llm-falcon-180b-chat-bf16 | 텍스트 생성 | 알 수 없음 | 아니요 | ml.p4de.24xlarge, ml.p5.48xlarge | | 티위에어어 | Falcon 40B BF16 | huggingface-llm-falcon-40b-bf16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 티위에어어 | Falcon 40B Instruct BF16 | huggingface-llm-falcon-40b-instruct-bf16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 티위에어어 | Falcon 7B BF16 | huggingface-llm-falcon-7b-bf16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 티위에어어 | Falcon 7B Instruct BF16 | huggingface-llm-falcon-7b-instruct-bf16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 티위에어어 | Falcon RW 1B | huggingface-llm-tiiuae-falcon-rw-1b | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.2xlarge | | 티위에어어 | Falcon-H1-0.5B-Instruct | huggingface-llm-falcon-h1-0-5b-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.g6xlarge, ml.48xlarge | | 티위에어어 | Falcon-H1-1.5B-Deep-Instruct | huggingface-llm-falcon-h1-1-5b-deep-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g5.16xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.16xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 티위에어어 | Falcon-H1-1.5B-Instruct | huggingface-llm-falcon-h1-1-5b-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.48xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 티위에어어 | Falcon-H1-34B-Instruct | huggingface-llm-falcon-h1-34b-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge | | 티위에어어 | Falcon-H1-3B-Instruct | huggingface-llm-falcon-h1-3b-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g6e.16xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 티위에어어 | Falcon-H1-7B-Instruct | huggingface-llm-falcon-h1-7b-instruct | 텍스트 생성 | 기타 | 아니요 | ml.g6e.12xlarge, ml.g6e.24xlarge | | 티위에어어 | Falcon2-11B | huggingface-llm-falcon2-11b | 텍스트 생성 | 알 수 없음 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | 티위에어어 | Falcon3-10B-Base | huggingface-llm-falcon-3-10B-base | 텍스트 생성 | 기타 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | 티위에어어 | Falcon3-10B-Instruct | huggingface-llm-falcon-3-10B-Instruct | 텍스트 생성 | 기타 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 티위에어어 | Falcon3-1B-Instruct | huggingface-llm-falcon-3-1B-Instruct | 텍스트 생성 | 기타 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.g6.xlarge, ml.g6e.xlarge, ml.p3.2xlarge, ml.p4d.24xlarge | | 티위에어어 | Falcon3-3B-Base | huggingface-llm-falcon-3-3B-base | 텍스트 생성 | 기타 | 아니요 | ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.2xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | 티위에어어 | Falcon3-3B-Instruct | huggingface-llm-falcon-3-3B-Instruct | 텍스트 생성 | 기타 | 아니요 | ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g4dn.4xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6e.12xlarge, ml.g6e.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.g6xlarge, ml.g6xlarge. | | 티위에어어 | Falcon3-7B-Base | huggingface-llm-falcon-3-7B-base | 텍스트 생성 | 기타 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | 티위에어어 | Falcon3-7B-Instruct | huggingface-llm-falcon-3-7B-Instruct | 텍스트 생성 | 기타 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.xlarge | | 티닐라마 | Tiny Llama 1.1B | huggingface-llm-tinyllama-1-1b-intermediate-step-1431k-3 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | 티닐라마 | Tiny Llama 1.1B Chat V0.6 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v0-6 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | 티닐라마 | Tiny Llama 1.1B Chat V1 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v1-0 | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.2xlarge | | Togethercomputer | RedPajama INCITE Chat 3B V1 | huggingface-textgeneration1-redpajama-incite-chat-3B-v1-fp16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Togethercomputer | RedPajama INCITE Chat 7B V1 | huggingface-textgeneration1-redpajama-incite-chat-7B-v1-fp16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Togethercomputer | RedPajama INCITE Instruct 3B V1 | huggingface-textgeneration1-redpajama-incite-instruct-3Bv1fp16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | Togethercomputer | RedPajama INCITE Instruct 7B V1 | huggingface-textgeneration1-redpajama-incite-instruct-7B1fp16 | 텍스트 생성 | apache-2.0 | 예 | ml.g5.16xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge | | 도쿄텍-Llm | Swallow-7b-instruct-hf | huggingface-llm-swallow-7b-instruct-hf | 텍스트 생성 | llama2 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.2xlarge, ml.g5.48xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.xlarge, ml.g6.xlarge, ml.g6e.g6xlarge, ml.g6e.g6xlarge, ml.g6e.g6xlarge | | Volrath50 | volrath50 판타지 카드 확산 | huggingface-txt2img-volrath50-fantasy-card-diffusion | Text-to-Image | creativeml-openrail-m | 아니요 | ml.g4dn.2xlarge, ml.g4dn.xlarge, ml.p3.2xlarge | | 라이터 | 라이터 팔미라 스몰 | huggingface-llm-writer-palmyra-small | 텍스트 생성 | apache-2.0 | 아니요 | ml.g5.2xlarge | ------ #### [ Proprietary Models (121) ] 독점 파운데이션 모델은 Amazon SageMaker JumpStart를 통해 타사 공급자가 제공합니다. 독점 파운데이션 모델을 사용하려면 먼저 AWS Marketplace에서 모델을 구독해야 합니다. 구독 후 Amazon SageMaker Studio에서 파운데이션 모델을 찾아 배포할 수 있습니다. | 모델 이름 | 모델 ID | Task | 미세 조정 가능 | 지원되는 추론 인스턴스 유형 | | --- | --- | --- | --- | --- | | A.X 4.0 조명 | sk-telecom-ax4-light | 텍스트 생성 | 아니요 | ml.g5.2xlarge | | AI21 컨텍스트 답변 | ai21-contextual-answers | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.g4dn.12xlarge | | AI21 Jurassic-2 조명 | ai21-jurassic-2-light | 텍스트 생성 | 아니요 | ml.g4dn.12xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | AI21 Jurassic-2 중간 | ai21-jurassic-2-grande-instruct | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.g4dn.12xlarge | | AI21 Jurassic-2 Ultra | ai21-jurassic-2-jumbo-instruct | 텍스트 생성 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | AI21 구문 | ai21-paraphrase | 텍스트 생성 | 아니요 | ml.g4dn.2xlarge | | AI21 요약 | ai21-summarization | 텍스트 생성 | 아니요 | ml.g4dn.4xlarge, ml.g4dn.12xlarge, ml.g5.xlarge | | Arcee Lite | arcee-lite | 텍스트 생성 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Arcee SuperNova | arcee-supernova | 텍스트 생성 | 아니요 | ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Arcee Virtuoso Small | arcee-virtuoso-small | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g5.48xlarge, ml.g6.48xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Bria 2.2HD 상용 Text-to-image | bria-ai-2-2-hd-commercial | ReRank | 아니요 | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Bria 2.3 상용 Text-to-image | bria-ai-2-3-commercial | ReRank | 아니요 | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Bria 2.3Fast 상용 Text-to-image | bria-ai-2-3-fast-commercial | ReRank | 아니요 | ml.g5.2xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Cohere 명령 R(A100) | cohere-command-r-a100 | 텍스트 생성 | 아니요 | ml.p4de.24xlarge | | Cohere 명령 R(H100) | cohere-command-r-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | Cohere 명령 R\+(A100) | cohere-command-r-plus-a100 | 텍스트 생성 | 아니요 | ml.p4de.24xlarge | | Cohere 명령 R\+(H100) | cohere-command-r-plus-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | 코헤어 임베드 4 | cohere-embed-v4-0 | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g6.xlarge, ml.g6.2xlarge | | Cohere 임베드 라이트 모델 v3 - 영어 | cohere-embed-light-english | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Embed Light v3 - 다국어 | cohere-embed-light-multilingual | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere 임베드 모델 3 - 다국어 | cohere-embed-multilingual | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere 임베드 모델 v3 - 영어 | cohere-embed-english | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 2 모델 - 영어 | cohere-rerank-english-v2 | ReRank | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 2 모델 - 다국어 | cohere-rerank-multilingual-v2 | ReRank | 아니요 | ml.p3.2xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 3 모델 - 영어 | cohere-rerank-v3-english | ReRank | 아니요 | ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 3 모델 - 다국어 | cohere-rerank-v3-multilingual | ReRank | 아니요 | ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 3 Nimble 모델 - 영어 | cohere-rerank-nimble-english | ReRank | 아니요 | ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank 3 Nimble 모델 - 다중 | cohere-rerank-nimble-multi | ReRank | 아니요 | ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank v3.5 | cohere-rerank-v3-5 | 텍스트 임베딩 | 아니요 | ml.g6.xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.2xlarge | | Cohere Rerank v4.0 Fast | cohere-rerank-v4-0-fast | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.p5.4xlarge | | Cohere Rerank v4.0 Pro | cohere-rerank-v4-0-pro | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.p5.4xlarge | | 명령 A(A100) | cohere-command-a-a100 | 텍스트 생성 | 아니요 | ml.p4de.24xlarge | | 명령 A(H100) | cohere-command-a-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | 명령 R 08-2024(H100) | cohere-command-r-08-2024-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | 명령 R\+ 08-2024(H100) | cohere-command-r-plus-08-2024-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | 문서 OCR | upstage-document-ocr | 광학 문자 인식 | 아니요 | ml.g5.2xlarge | | 문서 구문 분석 | upstage-document-layout-analysis | 광학 문자 인식 | 아니요 | ml.g5.2xlarge, ml.g6.2xlarge, ml.p3.2xlarge | | 임베드 | upstage-solar-embedding-large | 텍스트 임베딩 | 아니요 | ml.g5.2xlarge | | ESM3-open | evolutionary-scale-esm3 | 다중 모달 생성 | 아니요 | ml.g5.4xlarge, ml.g5.8xlarge | | Evo2-NIM | nvidia-evo2-nim | 텍스트 생성 | 아니요 | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | EXAONE Atilier - 이미지-텍스트 | lgresearch-exaone | Image2Text 생성 | 아니요 | ml.g5.xlarge, ml.g5.12xlarge, ml.g5.48xlarge, ml.p4d.24xlarge | | Gretel 탐색기 테이블 형식 | gretel-navigator-tabular | 텍스트 생성 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge | | H-Optimus-0 | bioptimus-h-optimus-0 | 특성 추출 | 아니요 | ml.g5.xlarge | | IBM Granite 20B Code Instruct - 8K | ibm-granite-20b-code-instruct-8k | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | IBM Granite 3.0 2B 지침 | granite-3-0-2b-instruct | 텍스트 생성 | 아니요 | ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 3.0 8B 지침 | granite-3-0-8b-instruct | 텍스트 생성 | 아니요 | ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 3.2 지침 2B | ibm-granite-3-2-2b-instruct | 텍스트 생성 | 아니요 | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | IBM Granite 3.2 지침 8B | ibm-granite-3-2-8b-instruct | 텍스트 생성 | 아니요 | ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 34B Code Instruct - 8K | ibm-granite-34b-code-instruct-8k | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | IBM Granite 3B Code Instruct - 128K | ibm-granite-3b-code-instruct-128k | 텍스트 생성 | 아니요 | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | IBM Granite 4.0 h-micro | ibm-granite-4-0-h-micro | 텍스트 생성 | 아니요 | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 4.0 h-small | ibm-granite-4-0-h-small | 텍스트 생성 | 아니요 | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 4.0 h-tiny | ibm-granite-4-0-h-tiny | 텍스트 생성 | 아니요 | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge | | IBM Granite 8B Code Instruct - 128K | ibm-granite-8b-code-instruct-128k | 텍스트 생성 | 아니요 | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | ixi-GEN-Fin-7.8B | lg-ixi-gen | 텍스트 생성 | 아니요 | ml.g5.4xlarge | | JetBrains AI Mellum All | jbai-mellum-all | text2text 생성 | 아니요 | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | JetBrains AI Mellum Kotlin | jbai-mellum-kotlin | text2text 생성 | 아니요 | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | JetBrains AI Mellum Python | jbai-mellum-python | text2text 생성 | 아니요 | ml.g5.2xlarge, ml.g6.2xlarge, ml.g6e.xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge | | Jina Embeddings v2 Base - en | jinaai-embeddings-v2-base-en | 텍스트 임베딩 | 아니요 | ml.p2.xlarge, ml.p2.8xlarge, ml.p2.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g4xlarge, ml.g5.24xlarge. | | KARAKURI LM 8x7b instruct | karakuri-lm-8x7b-instruct | 텍스트 생성 | 아니요 | ml.g5.48xlarge, ml.g6.48xlarge | | LightOn Lyra-Fr 10B | lighton-lyra-fr | 텍스트 생성 | 아니요 | ml.p4d.24xlarge | | LightOn 미니 지침 40B | lighton-mini-instruct40b | 텍스트 생성 | 아니요 | ml.p4d.24xlarge | | Liquid LFM 40B(A100) | liquid-lfm-40b-a100 | 텍스트 생성 | 아니요 | ml.p4d.24xlarge | | Liquid LFM 40B(H100) | liquid-lfm-40b-h100 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | Liquid LFM 40B(L40S) | liquid-lfm-40b-l40s | 텍스트 생성 | 아니요 | ml.g6e.12xlarge | | Liquid LFM 7B(L40S) | liquid-lfm-7b-l40s | 텍스트 생성 | 아니요 | ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge | | Llama 3.1 Nemotron Nano 8B V1 | nvidia-nemotron-nano-8b-nim | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Llama 3.1 SuperNova Lite | arcee-llama-3-1-supernova-lite | 텍스트 생성 | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Llama 3.2 NVRerankQA1B NIM 마이크로서비스 | nvidia-llama3-2-nv-rerankqa-1b-v2-nim | 텍스트 생성 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.g6e.g6e.g6xlarge, ml.g6e.g6xlarge. | | Llama 3.3 Nemotron 슈퍼 49B V1 | nvidia-nemotron-super-49b-nim | 텍스트 생성 | 아니요 | ml.g5.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Llama 3.3 Nemotron Super 49B V1.5 | nvidia-nemotron-super-49b-nim-1-5 | 텍스트 생성 | 아니요 | ml.g5.48xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | Llama Spark | arcee-llama-spark | 텍스트 생성 | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Llama-3-Varco-Offsetbias-8B | ncsoft-llama-3-varco-offsetbias-8b | 텍스트 생성 | 아니요 | ml.g5.12xlarge | | Llama-3.1-8B-Stained Glass Transform Support를 사용한 지침 | protopia-llama-3-1-8b-instruct | 텍스트 생성 | 아니요 | ml.g4dn.12xlarge, ml.g5.4xlarge, ml.g5.16xlarge | | Llama-3.2-NV-EmbedQA-1B-v2 | nvidia-llama3-2-nv-embedqa-1b-v2-nim | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.g6e.g6e.g6xlarge, ml.g6e.g6xlarge. | | MARS6 | cambai-mars6 | 오디오로 텍스트 전송 | 아니요 | ml.g4dn.2xlarge, ml.g6.2xlarge | | Medical LLM - 중간 | john-snow-labs-medical-summarization-qa-8b | 텍스트 요약 | 아니요 | ml.g5.2xlarge, ml.g4dn.12xlarge | | Medical LLM - 소형 | john-snow-labs-summarization-qa | 텍스트 요약 | 아니요 | ml.g5.12xlarge | | Medical Text Translation(EN-ES) | john-snow-labs-medical-translation-en-es | 번역 | 아니요 | ml.g5.2xlarge | | 수성 | inception-mercury | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | 수은 코더 | inception-mercury-coder | 텍스트 생성 | 아니요 | ml.p5.48xlarge | | msa-search | nvidia-nim-msa-search-v2-1 | 텍스트 생성 | 아니요 | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p5.48xlarge, ml.p4de.24xlarge, ml.p5en.48xlarge | | Nemotron 나노 9b v2 | nvidia-nemotron-nano-9b-v2 | 텍스트 생성 | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p58xlarge | | nemotron 구문 분석 | nvidia-nemotron-parse | 텍스트 생성 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.4xlarge | | NEXUS 기본 제공 | fundamental-technologies-nexus | 분류 | 아니요 | ml.g4dn.8xlarge, ml.p5en.48xlarge | | Nomic Embed Text v1.5 | nomic-embed-text | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.4xlarge | | Nomic Embed Vision v1.5 | nomic-embed-image | 텍스트 임베딩 | 아니요 | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge, ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.16xlarge, ml.g5.24xlarge, ml.g5.4xlarge | | NVIDIA Cosmos Reason-1-7B | nvidia-nim-cosmos-reason1-7b | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6e.xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.4xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | NVIDIA Nemotron-4 15B NIM Microservice | nvidia-nemotron-4-15b-nim | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g5.24xlarge | | NVIDIA ParakeetvTDT 0.6B v2 | nvidia-parakeetvtdt-0-6b-v2 | Audio2Text 생성 | 아니요 | ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.12xlarge, ml.g6e.16xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.12xlarge, ml.g6.16xlarge, ml.g6.24xlarge, ml.g6.48xlarge | | NVIDIA-Parakeet-1-1b-CTC-EN-US-ASR | nvidia-parakeet-1-1b-ctc-en-us-asr | Audio2Text 생성 | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge, ml.g6.12xlarge, ml.g6.24xlarge, ml.g6.48xlarge, ml.g6e.2xlarge, ml.g6e.4xlarge, ml.g6e.8xlarge, ml.g6e.16xlarge, ml.g6e.12xlarge, ml.g6xlarge, ml.g6xlarge. | | Orb | orbital-materials-orb | 과학 모델링 | 아니요 | ml.p3.2xlarge, ml.p3.8xlarge, ml.p3.16xlarge, ml.p4d.24xlarge, ml.g4dn.xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.12xlarge, ml.g4dn.16xlarge | | PLaMo 프라이빗 배포 | preferred-networks-plamo-api | 텍스트 생성 | 아니요 | ml.p4d.24xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | ProteinMPNN-NIM | nvidia-nim-proteinmpnn-v1-0-2 | 텍스트 생성 | 아니요 | ml.g6e.12xlarge, ml.g6e.24xlarge, ml.g6e.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge, ml.p5.48xlarge, ml.p5en.48xlarge | | rerank-lite-1 Reranker | voyage-rerank-lite-1-reranker | ReRank | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge | | 솔라 미니 - 양자 | upstage-solar-mini-chat-quant | 텍스트 생성 | 아니요 | ml.g5.2xlarge | | Solar Pro - 양자 | upstage-solar-pro-quantized | 텍스트 생성 | 아니요 | ml.g5.12xlarge | | Solar Pro 2 | upstage-solar-pro | 텍스트 생성 | 아니요 | ml.p4d.24xlarge, ml.p5.48xlarge | | Sonic 3 SageMaker | cartesia-sonic-3-sagemaker | 오디오로 텍스트 전송 | 아니요 | ml.g6e.xlarge | | Stable Diffusion 3.5 Large | stabilityai-stable-diffusion-3-5-large | 텍스트 투 이미지 | 아니요 | ml.p5.48xlarge | | Stable Diffusion XL 1.0 | stabilityai-sdxl-1-0 | 텍스트 투 이미지 | 아니요 | ml.g5.2xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Stable Diffusion XL 베타 0.8 | stabilityai-sdxl-beta-0-8 | 텍스트 투 이미지 | 아니요 | ml.g5.xlarge | | Stockmark-LLM-13b | stockmark-llm-13b | 텍스트 생성 | 아니요 | ml.g5.2xlarge | | VARCO LLM KO-1.3B-IST | ncsoft-ko-1-3b-ist | 텍스트 생성 | 아니요 | ml.g5.2xlarge, ml.g5.4xlarge, ml.g4dn.2xlarge | | VARCO LLM KO-6.4B-IST | ncsoft-ko-6-4b-ist | 텍스트 생성 | 아니요 | ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.12xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge | | VARCO LLM KO/EN-13B-IST | ncsoft-ko-13b-ist | 텍스트 생성 | 아니요 | ml.g5.12xlarge, ml.g4dn.12xlarge | | voyage-2 임베딩 모델 | voyage-2-embedding | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge | | voyage-3 임베딩 모델 | voyage-3-embedding | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | voyage-3 대형 임베딩 모델 | voyage-3-large-embedding | 텍스트 임베딩 | 아니요 | ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g6.xlarge | | voyage-3.5 임베딩 모델 | voyage-3-5-embedding | 텍스트 임베딩 | 아니요 | ml.g5.16xlarge, ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g6.xlarge | | voyage-3.5-lite 임베딩 모델 | voyage-3-5-lite-embedding | 텍스트 임베딩 | 아니요 | ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g5.16xlarge, ml.g6.xlarge | | voyage-code-2 임베딩 모델 | voyage-code-2-embedding | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | voyage-code-3 임베딩 모델 | voyage-code-3-embedding | 텍스트 임베딩 | 아니요 | ml.g6.16xlarge, ml.g6.2xlarge, ml.g5.xlarge, ml.g5.8xlarge, ml.g6.4xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g6.8xlarge, ml.g5.16xlarge, ml.g6.xlarge | | voyage-large-2 임베딩 모델 | voyage-large-2-embedding | 텍스트 임베딩 | 아니요 | ml.g5.xlarge, ml.g5.2xlarge, ml.g5.4xlarge, ml.g5.8xlarge, ml.g5.16xlarge, ml.g6.xlarge, ml.g6.2xlarge, ml.g6.4xlarge, ml.g6.8xlarge, ml.g6.16xlarge | | Widn Tower Anthill | widn-tower-anthill | 번역 | 아니요 | ml.g5.xlarge | | Widn Tower Sugarloaf | widn-tower-sugarloaf | 번역 | 아니요 | ml.g5.12xlarge | | Widn Tower 베수비우스 | widn-llama3-tower-vesuvius | 번역 | 아니요 | ml.g5.48xlarge, ml.p4d.24xlarge, ml.p4de.24xlarge | | Woven City AI Vision 엔진 | wovenbytoyota-woven-city-ai-vision-engine | 멀티모달 생성 | 아니요 | ml.g5.8xlarge, ml.g5.12xlarge, ml.g5.24xlarge, ml.g5.48xlarge | | Writer Palmyra-Fin-70B-32K | writer-palmyra-fin-70b-32k | 텍스트 생성 | 아니요 | ml.p4d.24xlarge | | Writer Palmyra-Med-70B-32K | writer-palmyra-med-70b-32k | 텍스트 생성 | 아니요 | ml.p4d.24xlarge | | 작성자 Palmyra-X-004 | writer-palmyra-x-004 | 텍스트 생성 | 아니요 | ml.p5.48xlarge | ------ #### [ Built-in Algorithms (135) ] Amazon SageMaker JumpStart는 이미지 분류, 객체 감지, 이미지 세분화와 같은 일반적인 컴퓨터 비전 작업을 위한 사전 훈련된 작업별 모델을 제공합니다. 이러한 모델은 설정된 딥 러닝 프레임워크(PyTorch, TensorFlow, MXNet)를 기반으로 하며 자체 데이터를 배포하거나 미세 조정할 준비가 되어 있습니다. | 제공업체 | 모델 이름 | 모델 ID | Task | 라이선스 | 미세 조정 가능 | 지원되는 추론 인스턴스 유형 | | --- | --- | --- | --- | --- | --- | --- | | Mxnet | 더 빠른 RCNN ResNet 101 V1d | mxnet-od-faster-rcnn-resnet101-v1d-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 더 빠른 RCNN ResNet 101 V1d | mxnet-od-faster-rcnn-fpn-resnet101-v1d-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 더 빠른 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-resnet50-v1b-voc | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 더 빠른 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-resnet50-v1b-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 더 빠른 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-fpn-resnet50-v1b-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN ResNet 101 ADE20K | mxnet-semseg-fcn-resnet101-ade | 이미지 세분화 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN ResNet 101 Pascal VOC | mxnet-semseg-fcn-resnet101-voc | 이미지 세분화 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | FCN ResNet 50 ADE20K | mxnet-semseg-fcn-resnet50-ade | 이미지 세분화 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 인스턴스 세분화 | mxnet-is-mask-rcnn-fpn-resnet101-v1d-coco | 이미지 세분화 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | MASK RCNN FPN RESNET18 코코 | mxnet-is-mask-rcnn-fpn-resnet18-v1b-coco | 이미지 세분화 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 마스크 RCNN FPN RESNET50 코코 | mxnet-is-mask-rcnn-fpn-resnet50-v1b-coco | 이미지 세분화 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 마스크 RCNN RESNET18 COCO | mxnet-is-mask-rcnn-resnet18-v1b-coco | 이미지 세분화 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 객체 감지 | mxnet-od-ssd-512-mobilenet1-0-coco | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | 의미 체계 분할 | mxnet-semseg-fcn-resnet101-coco | 이미지 세분화 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD 512 ResNet 50 V1 | mxnet-od-ssd-512-resnet50-v1-coco | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD MobileNet 1.0 | mxnet-od-ssd-512-mobilenet1-0-voc | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD ResNet 50 V1 | mxnet-od-ssd-512-resnet50-v1-voc | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG 16 Atrous 300 | mxnet-od-ssd-300-vgg16-atrous-voc | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG 16 Atrous 512 | mxnet-od-ssd-512-vgg16-atrous-coco | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG16 Atrous 300 | mxnet-od-ssd-300-vgg16-atrous-coco | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | SSD VGG16 Atrous 512 | mxnet-od-ssd-512-vgg16-atrous-voc | 객체 감지 | apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 DarkNet 53 | mxnet-od-yolo3-darknet53-voc | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 DarkNet 53 | mxnet-od-yolo3-darknet53-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 MobileNet 1.0 | mxnet-od-yolo3-mobilenet1-0-voc | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Mxnet | YOLO V3 MobileNet 1.0 | mxnet-od-yolo3-mobilenet1-0-coco | 객체 감지 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | SqueezeNet 1 | pytorch-ic-squeezenet1-1 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | AlexNet | pytorch-ic-alexnet | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | DenseNet 121 | pytorch-ic-densenet121 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | DenseNet 169 | pytorch-ic-densenet169 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | FRCNN MobileNet V3 대형 320 FPN | pytorch-od1-fasterrcnn-mobilenet-v3-large-320-fpn | 객체 감지 | bsd-3-clause | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | FRCNN MobileNet V3 대형 FPN | pytorch-od1-fasterrcnn-mobilenet-v3-large-fpn | 객체 감지 | bsd-3-clause | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | GoogLeNet | pytorch-ic-googlenet | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | 이미지 분류 | pytorch-ic-mobilenet-v2 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | 객체 감지 | pytorch-od1-fasterrcnn-resnet50-fpn | 객체 감지 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | ResNet 101 | pytorch-ic-resnet101 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | ResNet 152 | pytorch-ic-resnet152 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | ResNet 18 | pytorch-ic-resnet18 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | ResNet 34 | pytorch-ic-resnet34 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | ResNet 50 | pytorch-ic-resnet50 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | Resnext 50 | pytorch-ic-resnext50-32x4d | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | ShuffleNet V2 | pytorch-ic-shufflenet-v2-x1-0 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | SSD | pytorch-od-nvidia-ssd | 객체 감지 | bsd-3-clause | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Pytorch | VGG 11 | pytorch-ic-vgg11 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG 11-BN | pytorch-ic-vgg11-bn | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG 13-BN | pytorch-ic-vgg13-bn | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG 16 | pytorch-ic-vgg16 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG 16-BN | pytorch-ic-vgg16-bn | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG 19 | pytorch-ic-vgg19 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | VGG-13 | pytorch-ic-vgg13 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Pytorch | 광역 ResNet 101 | pytorch-ic-wide-resnet101-2 | 이미지 분류 | bsd-3-clause | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge | | Tensorflow | ALBERT Base | tensorflow-tc-albert-en-base | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Base Cased | tensorflow-tc-bert-en-cased-L-12-H-768-A-12-2 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Base MEDLINE/PubMed | tensorflow-tc-experts-bert-pubmed-1 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Base Multilingual Cased | tensorflow-tc-bert-multi-cased-L-12-H-768-A-12-2 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Large Uncased | tensorflow-tc-bert-en-uncased-L-24-H-1024-A-16-2 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | BERT Small Uncased L-10 H-128 | tensorflow-tcembedding-bert-en-uncased-L-10-H-128-A-2-2 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT Small Uncased L-12 H-256 | tensorflow-tcembedding-bert-en-uncased-L-12-H-256-A-4 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT Small Uncased L-12 H-768 | tensorflow-tcembedding-bert-en-uncased-L-12-H-768-A-12-2 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BERT 소용량 L-4 H-768 | tensorflow-tcembedding-bert-en-uncased-L-4-H-768-A-12-2 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BiT-M R101x1 | tensorflow-ic-bit-m-r101x1-ilsvrc2012-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | BiT-M R101x1 특성 벡터 | tensorflow-icembedding-bit-m-r101x1-ilsvrc2012-featurevector-1 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | BiT-M R50x1 ImageNet-21k | tensorflow-ic-bit-m-r50x1-imagenet21k-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | CaiT S 24 224 | tensorflow-ic-cait-s24-224 | 이미지 분류 | MIT | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | CenterNet ResNet-v1-101 | tensorflow-od-centernet-resnet101v1-fpn-512x512-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | CenterNet ResNet-v1-50 | tensorflow-od-centernet-resnet50v1-fpn-512x512-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | DeiT Tiny Distilled Patch 16 224 | tensorflow-ic-deit-tiny-distilled-patch16-224 | 이미지 분류 | MIT | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | EfficientNet B0 | tensorflow-ic-efficientnet-b0-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | EfficientNet B1 | tensorflow-ic-efficientnet-b1-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | EfficientNet B1 특성 벡터 | tensorflow-icembedding-efficientnet-b1-featurevector-1 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | EfficientNet B3 | tensorflow-ic-efficientnet-b3-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | EfficientNet B7 | tensorflow-ic-efficientnet-b7-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.9xlarge, ml.g4dn.8xlarge, ml.p3.8xlarge | | Tensorflow | EfficientNet V2 ImageNet-1k 스몰 | tensorflow-ic-efficientnet-v2-imagenet1k-s | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | EfficientNet V2 ImageNet-21k FT1k M | tensorflow-ic-efficientnet-v2-imagenet21k-ft1k-m | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | 더 빠른 R-CNN Resnet V2 1024x1024 | tensorflow-od-faster-rcnn-inception-resnet-v2-1024x1024-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | 더 빠른 R-CNN Resnet-101 V1 640x640 | tensorflow-od-faster-rcnn-resnet101-v1-640x640-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | 더 빠른 R-CNN Resnet-50 V1 1024x1024 | tensorflow-od-faster-rcnn-resnet50-v1-1024x1024-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | 더 빠른 R-CNN Resnet-50 V1 640x640 | tensorflow-od-faster-rcnn-resnet50-v1-640x640-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | 더 빠른 R-CNN Resnet-50 V1 800x1333 | tensorflow-od-faster-rcnn-resnet50-v1-800x1333-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | 프릴 | tensorflow-audioembedding-frill-1 | 오디오 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | 이미지 분류 | tensorflow-ic-swin-base-patch4-window7-224 | 이미지 분류 | MIT | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | 이미지 임베딩 | tensorflow-icembedding-imagenet-mobilenet-v2-100-224-fv-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Inception V3 | tensorflow-ic-imagenet-inception-v3-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | Inception V3 프리뷰 기능 벡터 | tensorflow-icembedding-tf2-preview-inception-v3-fv-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V2 | tensorflow-ic-tf2-preview-mobilenet-v2-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V2 0.35 128 | tensorflow-ic-imagenet-mobilenet-v2-035-128 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V2 0.50 224 | tensorflow-icembedding-imagenet-mobilenet-v2-050-224-fv-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V2 1.00 224 | tensorflow-ic-imagenet-mobilenet-v2-100-224-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V2 1.40 224 | tensorflow-ic-imagenet-mobilenet-v2-140-224-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V2 특성 벡터 | tensorflow-icembedding-tf2-preview-mobilenet-v2-fv-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V2 특성 벡터 | tensorflow-icembedding-tf2-preview-mobilenet-v2-featurevector-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | MobileNet V3 Large 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-large-100-224 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V3 스몰 0.75 224 | tensorflow-ic-imagenet-mobilenet-v3-small-075-224 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | MobileNet V3 스몰 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-small-100-224 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | 객체 감지 | tensorflow-od1-ssd-resnet50-v1-fpn-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet 50 | tensorflow-ic-resnet-50-classification-1 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.9xlarge, ml.g4dn.8xlarge, ml.p3.8xlarge | | Tensorflow | ResNet 50 특성 벡터 | tensorflow-icembedding-resnet-50-featurevector-1 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet V1 50 | tensorflow-ic-imagenet-resnet-v1-50-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | ResNet V2 152 특성 벡터 | tensorflow-icembedding-imagenet-resnet-v2-152-featurevector-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | ResNet V2 50 | tensorflow-ic-imagenet-resnet-v2-50-classification-4 | 이미지 분류 | Apache-2.0 | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | ResNet V2 50 특성 벡터 | tensorflow-icembedding-imagenet-resnet-v2-50-featurevector-4 | 이미지 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Retinanet SSD Resnet-101 640x640 | tensorflow-od-retinanet-resnet101-v1-fpn-640x640-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | Small BERT L-10\_H-512\_A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-10-H-512-A-8 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-12\_H-256\_A-4 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-256-A-4 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-12\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-768-A-12 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-2\_H-128\_A-2 | tensorflow-tc-small-bert-bert-en-uncased-L-2-H-128-A-2 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-4\_H-512\_A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-4-H-512-A-8 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-6\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-6-H-768-A-12 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | Small BERT L-8\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-8-H-768-A-12 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | SSD ResNet 152 V1 FPN 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet152-v1-fpn-1024x1024-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D0 | tensorflow-od-efficientdet-d0-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientdet D0 512x512 COCO '17 | tensorflow-od1-ssd-efficientdet-d0-512x512-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientdet D1 640x640 COCO '17 | tensorflow-od1-ssd-efficientdet-d1-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D2 | tensorflow-od-efficientdet-d2-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientdet D2 768x768 COCO '17 | tensorflow-od1-ssd-efficientdet-d2-768x768-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D3 | tensorflow-od-efficientdet-d3-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Efficientdet D3 896x896 COCO '17 | tensorflow-od1-ssd-efficientdet-d3-896x896-coco17-tpu-32 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D5 | tensorflow-od-efficientdet-d5-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V1 FPN 640x640 COCO '17 | tensorflow-od1-ssd-mobilenet-v1-fpn-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 | tensorflow-od-ssd-mobilenet-v2-2 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 640x640 | tensorflow-od-ssd-mobilenet-v2-fpnlite-640x640-1 | 객체 감지 | apache-2.0 | 아니요 | ml.g4dn.xlarge, ml.g5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 FPN-Lite 320x320 COCO '17 | tensorflow-od1-ssd-mobilenet-v2-fpnlite-320x320-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 FPN-lite 640x640 COCO '17 | tensorflow-od1-ssd-mobilenet-v2-fpnlite-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD ResNet 101 V1 FPN 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet101-v1-fpn-1024x1024-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD ResNet 101 V1 FPN 640x640 COCO '17 | tensorflow-od1-ssd-resnet101-v1-fpn-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD ResNet 152 V1 FPN 640x640 COCO '17 | tensorflow-od1-ssd-resnet152-v1-fpn-640x640-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | SSD ResNet 50 V1 FPN 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet50-v1-fpn-1024x1024-coco17-tpu-8 | 객체 감지 | apache-2.0 | 예 | ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | Swin Base 4 12 384 | tensorflow-ic-swin-base-patch4-window12-384 | 이미지 분류 | MIT | 예 | ml.c5.2xlarge, ml.c5.xlarge, ml.c6i.large, ml.c6i.xlarge, ml.g4dn.xlarge, ml.m4.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge, ml.r5.large, ml.r5.xlarge | | Tensorflow | Talking Heads Large | tensorflow-tc-talking-heads-large | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | 텍스트 분류 | tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2 | 텍스트 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.16xlarge, ml.g4dn.2xlarge, ml.g4dn.4xlarge, ml.g4dn.8xlarge, ml.g4dn.xlarge, ml.g5.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge, ml.p3.16xlarge, ml.p3.2xlarge, ml.p3.8xlarge | | Tensorflow | 텍스트 임베딩 | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-large-1 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | TRILL Distilled | tensorflow-audioembedding-trill-distilled-3 | 오디오 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | TRILLsson 1 | tensorflow-audioembedding-trillsson1-1 | 오디오 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | TRILLsson 2 | tensorflow-audioembedding-trillsson2-1 | 오디오 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | TRILLsson 3 | tensorflow-audioembedding-trillsson3-1 | 오디오 분류 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | | Tensorflow | 범용 문장 인코더 CMLM 기본 | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-base-1 | 텍스트 임베딩 | apache-2.0 | 아니요 | ml.c5.2xlarge, ml.c5.xlarge, ml.g4dn.xlarge, ml.m5.large, ml.m5.xlarge, ml.p3.2xlarge | ------ #### [ Classic ML Algorithms (11) ] Amazon SageMaker JumpStart는 분류, 회귀 및 시계열 예측과 같은 테이블 형식 데이터 작업을 위해 클래식 기계 학습 알고리즘을 ready-to-use 수 있는 구현을 제공합니다. 이러한 알고리즘(XGBoost, LightGBM, CatBoost, scikit-learn, AutoGluon)은 구조화된 데이터에 최적화되어 있으며 자체 데이터 세트에서 처음부터 훈련할 수 있습니다. | 제공업체 | 모델 이름 | 모델 ID | Task | 라이선스 | 미세 조정 가능 | 지원되는 추론 인스턴스 유형 | | --- | --- | --- | --- | --- | --- | --- | | Autogluon | AutoGluon 테이블 형식 분류 | autogluon-classification-ensemble | 테이블 형식 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Autogluon | AutoGluon 테이블 형식 회귀 | autogluon-regression-ensemble | 테이블 형식 회귀 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Catboost | CatBoost 분류 | catboost-classification-model | 테이블 형식 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m4.16xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Catboost | CatBoost 회귀 | catboost-regression-model | 테이블 형식 회귀 | apache-2.0 | 예 | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Lightgbm | LightGBM 분류 | lightgbm-classification-model | 테이블 형식 분류 | mit | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m4.16xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Lightgbm | LightGBM 회귀 | lightgbm-regression-model | 테이블 형식 회귀 | mit | 예 | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge | | Pytorch | TabTransformer 분류 | pytorch-tabtransformerclassification-model | 테이블 형식 분류 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Pytorch | TabTransformer 회귀 | pytorch-tabtransformerregression-model | 테이블 형식 회귀 | apache-2.0 | 예 | ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.g4dn.xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.p3.2xlarge | | Sklearn | 선형 분류 | sklearn-classification-linear | 테이블 형식 분류 | bsd-3-clause | 예 | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge | | Xgboost | XGBoost 분류 | xgboost-classification-model | 테이블 형식 분류 | apache-2.0 | 예 | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge | | Xgboost | XGBoost 회귀 | xgboost-regression-model | 테이블 형식 회귀 | apache-2.0 | 예 | ml.c4.8xlarge, ml.c5.18xlarge, ml.c5.2xlarge, ml.c5.4xlarge, ml.c5.9xlarge, ml.m5.12xlarge, ml.m5.24xlarge, ml.m5.2xlarge, ml.m5.4xlarge, ml.m5.xlarge | ------ **참고** 가장 정확한 up-to-date 라이선스 정보는 SageMaker Studio의 모델 세부 정보 페이지 또는 모델 Hugging Face 페이지를 참조하세요.