本文為英文版的機器翻譯版本，如內容有任何歧義或不一致之處，概以英文版為準。 # 可用的基礎模型 Amazon SageMaker JumpStart 提供最先進、內建公開可用和專屬的基礎模型，可自訂並整合到您的生成式 AI 工作流程中。 若要列出所有可用的 JumpStart 基礎模型： ``` 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"]) ``` 若要取得特定模型支援的執行個體類型和其他中繼資料： ``` 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']}") ``` 下表列出截至 2026 年 4 月 30 日的可用模型及其授權和支援的推論執行個體類型。如需最新資訊，請使用上述 API 範例，或參閱 SageMaker Studio 中的模型中樞。 ------ #### [ Open-Weight Models (417) ] 開放式加權基礎模型是來自 Meta、Google、Mistral AI 等供應商的公開可用模型。您可以為您的使用案例部署、微調和自訂這些模型。 若要開始使用其中一個模型，請參閱[JumpStart 基礎模型用量](jumpstart-foundation-models-use.md)或探索其中一個可用的 [範例筆記本](jumpstart-foundation-models-example-notebooks.md)。在指定的範例筆記本中，嘗試切換模型 ID，以實驗相同模型系列中的不同模型。 如需有關使用 SageMaker Python SDK 部署公開 JumpStart 基礎模型的模型識別碼和資源的詳細資訊，請參閱[搭配 SageMaker Python SDK 使用基礎模型](jumpstart-foundation-models-use-python-sdk.md)。 | 供應商 | 模型名稱 | 模型 ID | 任務 | 授權 | 可微調 | 支援的推論執行個體類型 | | --- | --- | --- | --- | --- | --- | --- | | 01-Ai | Yi-1.5-34B | huggingface-llm-yi-1-5-34b | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | 01-Ai | Yi-1.5-9B | huggingface-llm-yi-1-5-9b | 產生文字 | apache-2.0 | 否 | 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 | 產生文字 | mit | 否 | ml.g5.2xlarge | | Ai-Forever | 多語言 GPT | huggingface-llm-ai-forever-mgpt | 產生文字 | apache-2.0 | 否 | ml.g5.2xlarge | | Aisingapore | Llama3 8B SEA-Lion v2.1 Instruct | huggingface-llm-llama3-8b-sealionv21-instruct | 產生文字 | llama3 | 否 | 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 | 產生文字 | mit | 否 | 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 | 產生文字 | mit | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Aisingapore | SEA-LION 7B 指示 | huggingface-llm-sealion-7b-instruct | 產生文字 | mit | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | 阿里巴巴-Nlp | Alibaba-NLP gte-Qwen2-7B-instruct | huggingface-textembedding-gte-qwen2-7b-instruct | 文字嵌入 | Apache-2.0 | 否 | 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 | | 阿拉奈 | Olmo-3-7B-Instruct | huggingface-textgeneration-olmo-3-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.g6e.24xlarge | | Amazon | 計時碼器 2 | pytorch-forecasting-chronos-2 | 時間序列預測 | apache-2.0 | 否 | 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.g6.2xlarge、ml.g6.xlarge、ml.g6e.2xlarge、ml.g6e.xlarge、ml.m5.2xlarge、ml.m5.4xlarge、ml.m5.xlarge | | Amazon | Falcon Lite | huggingface-llm-amazon-falconlite | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | Amazon | Falcon Lite 2 | huggingface-llm-amazon-falconlite2 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | Amazon | Mistral Lite | huggingface-llm-amazon-mistrallite | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Autogluon | Chronos-Bolt （基準） | autogluon-forecasting-chronos-bolt-base | 時間序列預測 | apache-2.0 | 否 | 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.m5.2xlarge、ml.m5.4xlarge、ml.m5.xlarge、ml.p3.2xlarge | | Autogluon | Chronos-Bolt （小型） | autogluon-forecasting-chronos-bolt-small | 時間序列預測 | apache-2.0 | 否 | 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.m5.2xlarge、ml.m5.4xlarge、ml.m5.xlarge、ml.p3.2xlarge | | Autogluon | Chronos-T5 （基本） | autogluon-forecasting-chronos-t5-base | 時間序列預測 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g4dn.4xlarge、ml.g4dn.xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Autogluon | Chronos-T5 （大型） | autogluon-forecasting-chronos-t5-large | 時間序列預測 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g4dn.4xlarge、ml.g4dn.xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Autogluon | Chronos-T5 （小型） | autogluon-forecasting-chronos-t5-small | 時間序列預測 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g4dn.4xlarge、ml.g4dn.xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.xlarge、ml.p3.2xlarge | | 巴艾島 | BAAI bge-base-en-v1.5 | huggingface-textembedding-bge-base-en-v1-5 | 文字嵌入 | MIT | 否 | 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 | | 巴艾島 | BGE Base En | huggingface-sentencesimilarity-bge-base-en | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE Base En V1 | huggingface-sentencesimilarity-bge-base-en-v1-5 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE 大型 En | huggingface-sentencesimilarity-bge-large-en | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE Large En V1 | huggingface-sentencesimilarity-bge-large-en-v1-5 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE M3 | huggingface-sentencesimilarity-bge-m3 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE 小型 En | huggingface-sentencesimilarity-bge-small-en | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 巴艾島 | BGE Small En V1 | huggingface-sentencesimilarity-bge-small-en-v1-5 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 伯克利巢 | 凝視 LM 7B Alpha | huggingface-llm-berkeley-nest-starling-lm-7b-alpha | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge | | 巴拉坦加島 | Param2-17B-A2.4B-Thinking | huggingface-llm-param2-17b-a2-4b-thinking | 產生文字 | | 否 | ml.g7e.2xlarge、ml.g7e.4xlarge、ml.g7e.8xlarge | | Bigcode | StarCoder | huggingface-llm-starcoder | 產生文字 | bigcode-openrail-m | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Bigcode | StarCoderBase | huggingface-llm-starcoderbase | 產生文字 | bigcode-openrail-m | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | 大科學 | Bloom 1b1 | huggingface-textgeneration-bloom-1b1 | 產生文字 | bigscience-bloom-rail-1.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 大科學 | Bloom 3B | huggingface-textgeneration1-bloom-3b | 產生文字 | bigscience-bloom-rail-1.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 大科學 | Bloom 7B1 | huggingface-textgeneration1-bloom-7b1 | 產生文字 | bigscience-bloom-rail-1.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 大科學 | Bloomz 1b7 | huggingface-textgeneration-bloomz-1b7 | 產生文字 | bigscience-bloom-rail-1.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 大科學 | BloomZ 7B1 FP16 | huggingface-textgeneration1-bloomz-7b1-fp16 | 產生文字 | bigscience-bloom-rail-1.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Bingsu | Bingsu my korean 穩定擴散 v1 5 | huggingface-txt2img-bingsu-my-korean-stable-diffusion-v1-5 | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.2xlarge、ml.g4dn.xlarge、ml.p3.2xlarge | | Black-Forest-Labs | Black Forest Labs FLUX.1 【schnell】 | huggingface-txt2img-black-forest-labs-flux-1-schnell | Text-to-Image | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 認知運算 | Dolphin 2.2.1 Mistral 7B | huggingface-llm-dolphin-2-2-1-mistral-7b | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge | | 認知運算 | Dolphin 2.5 Mixtral 8 7B | huggingface-llm-dolphin-2-5-mixtral-8x7b | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge | | 認知運算 | Dolphin 2.7 Mixtral 8 7B | huggingface-llm-dolphin-2-7-mixtral-8x7b | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge | | 認知運算 | Dolphin 2.9 Llama 3 8b | huggingface-llm-cognitive-dolphin-29-llama3-8b | 產生文字 | 其他 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Cohereforai | Aya 101 | huggingface-llm-aya-101 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | 跨編碼器 | 跨編碼器 Nli Deberta 基礎 | huggingface-zstc-cross-encoder-nli-deberta-base | 零鏡頭分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 跨編碼器 | 跨編碼器 Nli Distilroberta Base | huggingface-zstc-cross-encoder-nli-distilroberta-base | 零鏡頭分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 跨編碼器 | 跨編碼器 Nli MiniLM2 L6 H768 | huggingface-zstc-cross-encoder-nli-minilm2-l6-h768 | 零鏡頭分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 跨編碼器 | 跨編碼器 Nli Roberta Base | huggingface-zstc-cross-encoder-nli-roberta-base | 零鏡頭分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 網路代理程式 | CyberAgentLM2-7B-Chat (CALM2-7B-Chat) | huggingface-llm-calm2-7b-chat-bf16 | 產生文字 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.xlarge | | Databricks | DBRX Base | huggingface-llm-dbrx-base | 產生文字 | databricks-open-model | 否 | ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Databricks | DBRX Instruct | huggingface-llm-dbrx-instruct | 產生文字 | databricks-open-model | 否 | ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Databricks | Dolly V2 12b BF16 | huggingface-textgeneration-dolly-v2-12b-bf16 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Databricks | Dolly V2 3b BF16 | huggingface-textgeneration-dolly-v2-3b-bf16 | 產生文字 | apache-2.0 | 否 | 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 | 否 | 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.g6.16xlarge、ml.g6.2xlarge、ml.g6.4xlarge、ml.g6.8xlarge、ml.g6.16xlarge、ml.g6e.2xlarge、ml.g6 | | Deepseek-Ai | DeepSeek-R1 | deepseek-llm-r1 | 產生文字 | mit | 否 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-0528 | deepseek-llm-r1-0528 | 產生文字 | mit | 否 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-70B | deepseek-llm-r1-distill-llama-70b | 產生文字 | mit | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Llama-8B | deepseek-llm-r1-distill-llama-8b | 產生文字 | mit | 是 | 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 | 產生文字 | mit | 是 | 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.g6.2xlarge、ml.g6.48xlarge、ml.g6.4xlarge、ml.g6.8xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-14B | deepseek-llm-r1-distill-qwen-14b | 產生文字 | mit | 是 | 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 | 產生文字 | mit | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Deepseek-Ai | DeepSeek-R1-Distill-Qwen-7B | deepseek-llm-r1-distill-qwen-7b | 產生文字 | mit | 是 | 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 | 產生文字 | mit | 否 | ml.p5en.48xlarge | | Deepseek-Ai | DeepSeek-V3.2 | deepseek-llm-deepseek-v3-2 | 產生文字 | mit | 否 | ml.p5en.48xlarge | | 二分位數 | DistilBERT 基礎案例 | huggingface-tc-distilbert-base-cased | 文字分類 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilBERT 基礎案例 | huggingface-spc-distilbert-base-cased | Fill-Mask | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilBERT 基礎案例 | huggingface-eqa-distilbert-base-cased | 問題回答 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilBERT 基礎多語言案例 | huggingface-tc-distilbert-base-multilingual-cased | 文字分類 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilBERT 基礎多語言案例 | huggingface-spc-distilbert-base-multilingual-cased | Fill-Mask | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilBERT 基礎多語言案例 | huggingface-eqa-distilbert-base-multilingual-cased | 問題回答 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilGPT 2 | huggingface-textgeneration-distilgpt2 | 產生文字 | apache-2.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 二分位數 | DistilRoBERTa 基礎 | huggingface-tc-distilroberta-base | 文字分類 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | DistilRoBERTa 基礎 | huggingface-eqa-distilroberta-base | 問題回答 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | 問題回答 | huggingface-eqa-distilbert-base-uncased | 問題回答 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | 句子對分類 | huggingface-spc-distilbert-base-uncased | Fill-Mask | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 二分位數 | 文字分類 | huggingface-tc-distilbert-base-uncased | 文字分類 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 彈性 | Distilbert Base Uncased | huggingface-ner-distilbert-base-uncased-finetuned-conll03-eng | 字符分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 彈性 | 具名實體辨識 | huggingface-ner-distilbert-base-cased-finetuned-conll03-english | 字符分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 彈性 | 具名實體辨識 | huggingface-ner-distilbert-base-cased-finetuned-conll03-eng | 字符分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 伊柳塞拉 | GPT-J 6B | huggingface-textgeneration1-gpt-j-6b | 產生文字 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 伊柳塞拉 | GPT-Neo 125M | huggingface-textgeneration1-gpt-neo-125m | 產生文字 | mit | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 伊柳塞拉 | gpt-neox-20b | huggingface-textgeneration2-gpt-neox-20b-fp16 | 產生文字 | Apache-2.0 | 否 | 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 | | 伊柳塞拉 | Pythia 160 公尺已棄用 | huggingface-llm-eleutherai-pythia-160m-deduped | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge | | 伊柳塞拉 | 已棄用 Pythia 7 公尺 | huggingface-llm-eleutherai-pythia-70m-deduped | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge | | Elyza | ELYZA-japanese-Llama-2-13b-chat | huggingface-llm-elyza-japanese-llama-2-13b-chat | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Elyza | ELYZA-japanese-Llama-2-13b-fast-chat | huggingface-llm-elyza-japanese-llama-2-13b-fast-chat | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Elyza | ELYZA-japanese-Llama-2-7b-chat | huggingface-llm-elyza-japanese-llama-2-7b-chat-bf16 | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.g5.4xlarge、ml.g5.xlarge | | Elyza | ELYZA-japanese-Llama-2-7b-fast-chat | huggingface-llm-elyza-japanese-llama-2-7b-fast-chat-bf16 | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.g5.4xlarge、ml.g5.xlarge | | Emrecan | Emrecan Bert Base 土耳其文 Cased Allnli Tr | huggingface-zstc-emrecan-bert-base-turkish-cased-allnli-tr | 零鏡頭分類 | mit | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebook | 零鏡頭文字分類 | huggingface-zstc-facebook-bart-large-mnli | 零鏡頭分類 | mit | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 基礎 | huggingface-tc-roberta-base | 文字分類 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 基礎 | huggingface-spc-roberta-base | Fill-Mask | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 基礎 | huggingface-eqa-roberta-base | 問題回答 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 大型 | huggingface-tc-roberta-large | 文字分類 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 大型 | huggingface-spc-roberta-large | Fill-Mask | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | RoBERTa 大型 | huggingface-eqa-roberta-large | 問題回答 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM CLM 英文-德文 | huggingface-tc-xlm-clm-ende-1024 | 文字分類 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM CLM 英文-德文 | huggingface-spc-xlm-clm-ende-1024 | Fill-Mask | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM 15 XNLI 語言 | huggingface-spc-xlm-mlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM 英文 - 德文 | huggingface-tc-xlm-mlm-ende-1024 | 文字分類 | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM 英文 - 德文 | huggingface-spc-xlm-mlm-ende-1024 | Fill-Mask | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM 英文-羅馬尼亞文 | huggingface-tc-xlm-mlm-enro-1024 | 文字分類 | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM 英文-羅馬尼亞文 | huggingface-spc-xlm-mlm-enro-1024 | Fill-Mask | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 XNLI 語言 | huggingface-tc-xlm-mlm-tlm-xnli15-1024 | 文字分類 | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Facebookai | XLM MLM TLM 15 XNLI 語言 | huggingface-spc-xlm-mlm-tlm-xnli15-1024 | Fill-Mask | cc-by-nc-4.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Fictiverse | Fictiverse 穩定擴散BalloonArt 模型 | huggingface-txt2img-fictiverse-stable-diffusion-balloonart | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Fictiverse | Fictiverse 穩定擴散微型模型 | huggingface-txt2img-fictiverse-stable-diffusion-micro-model | Text-to-Image | Openrail | 否 | ml.g4dn.2xlarge、ml.g4dn.xlarge、ml.p3.2xlarge | | Fictiverse | Fictiverse 穩定擴散 PaperCut 模型 | huggingface-txt2img-fictiverse-stable-diffusion-papercut-model | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.2xlarge、ml.g4dn.xlarge、ml.p3.2xlarge | | Fictiverse | Fictiverse 穩定擴散 VoxelArt 模型 | huggingface-txt2img-fictiverse-stable-diffusion-voxelart-model | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Google | Bigbird Pegasus 大型 Arxiv | huggingface-summarization-bigbird-pegasus-large-arxiv | 文字摘要 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google | Bigbird Pegasus 大型已發佈 | huggingface-summarization-bigbird-pegasus-large-pubmed | 文字摘要 | apache-2.0 | 否 | 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 產生 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | Flan-T5 Large | huggingface-text2text-flan-t5-large | Text2Text 產生 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | Flan-T5 Small | huggingface-text2text-flan-t5-small | Text2Text 產生 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | Flan-T5 XL | huggingface-text2text-flan-t5-xl | Text2Text 產生 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | Flan-T5 XXL | huggingface-text2text-flan-t5-xxl | Text2Text 產生 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Google | Gemma 2 27B | huggingface-llm-gemma-2-27b | 產生文字 | Gemma | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Google | Gemma 2 27B Instruct | huggingface-llm-gemma-2-27b-instruct | 產生文字 | Gemma | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Google | Gemma 2 2B | huggingface-llm-gemma-2-2b | 產生文字 | Gemma | 否 | 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 Instruct | huggingface-llm-gemma-2-2b-instruct | 產生文字 | Gemma | 否 | 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 | 產生文字 | Gemma | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Google | Gemma 2 9B Instruct | huggingface-llm-gemma-2-9b-instruct | 產生文字 | Gemma | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Google | Gemma 2B Instruct | huggingface-llm-gemma-2b-instruct | 產生文字 | Gemma | 是 | 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 指示 | huggingface-llm-gemma-3-1b-instruct | 產生文字 | Gemma | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | Gemma 3 27B 指示 | huggingface-vlm-gemma-3-27b-instruct | Image-Text-to-Text | Gemma | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Google | Gemma 3 4B 指示 | huggingface-vlm-gemma-3-4b-instruct | Image-Text-to-Text | Gemma | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Google | gemma-2b | huggingface-llm-gemma-2b | 產生文字 | Gemma | 是 | 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 | 產生文字 | apache-2.0 | 否 | 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 | 否 | ml.g6.24xlarge | | Google | gemma-4-e4b-it | huggingface-vlm-gemma-4-e4b-it | 產生文字 | apache-2.0 | 否 | 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 | 產生文字 | Gemma | 是 | ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | Google | gemma-7b-it | huggingface-llm-gemma-7b-instruct | 產生文字 | Gemma | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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 | 是 | 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 | 問題回答 | apache-2.0 | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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 | 是 | 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 | 問題回答 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-Bert | BERT 基礎多語言無大小寫 | huggingface-tc-bert-base-multilingual-uncased | 文字分類 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-Bert | BERT 基礎多語言無大小寫 | huggingface-spc-bert-base-multilingual-uncased | Fill-Mask | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-Bert | BERT 基礎多語言無大小寫 | huggingface-eqa-bert-base-multilingual-uncased | 問題回答 | apache-2.0 | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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 | 是 | 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 | 問題回答 | apache-2.0 | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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 | 是 | 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 | 問題回答 | apache-2.0 | 是 | 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 | 是 | 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 | 問題回答 | apache-2.0 | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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 | 是 | 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 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-Bert | 填入遮罩 | huggingface-fillmask-bert-base-uncased | Fill-Mask | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-T5 | 機器翻譯 | huggingface-translation-t5-small | 翻譯 | apache-2.0 | 否 | 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 | 翻譯 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Google-T5 | t5 Large en de | huggingface-translation-t5-large | 翻譯 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Gradientai | Llama-3 8B 漸層指示 1048k | huggingface-llm-llama-3-8b-instruct-gradient | 產生文字 | llama3 | 否 | 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 | | Gradientai | Llama-3 8B 漸層指示 262k | huggingface-llm-gradientai-llama-3-8B-instruct-262k | 產生文字 | llama3 | 否 | 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 | | 赫爾辛基-Nlp | 赫爾辛基opus en es | huggingface-translation-opus-mt-en-es | 翻譯 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 赫爾辛基-Nlp | Helsinki opus en vi | huggingface-translation-opus-mt-en-vi | 翻譯 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 赫爾辛基-Nlp | 赫爾辛基opus mul en | huggingface-translation-opus-mt-mul-en | 翻譯 | apache-2.0 | 否 | 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 | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Huggingfaceh4 | 星狀聊天 Alpha | huggingface-llm-huggingfaceh4-starchat-alpha | 產生文字 | bigcode-openrail-m | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | Huggingfaceh4 | Star Chat Beta 版 | huggingface-llm-huggingfaceh4-starchat-beta | 產生文字 | bigcode-openrail-m | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Huggingfaceh4 | Zephyr 7B Beta | huggingface-llm-huggingfaceh4-zephyr-7b-beta | 產生文字 | mit | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Ibm | 品質控制重述產生 | huggingface-text2text-qcpg-sentences | Text2Text 產生 | apache-2.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Idea-Ccnl | IDEA CCNL 太極穩定擴散 1B 中國 EN 0.1 版 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-en-v01 | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Idea-Ccnl | IDEA CCNL 台義穩定擴散 1B 中文 0.1 版 | huggingface-txt2img-idea-ccnl-taiyi-1b-chinese-v0-1 | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Intfloat | E5 基礎 | huggingface-sentencesimilarity-e5-base | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Intfloat | E5 基礎 V2 | huggingface-sentencesimilarity-e5-base-v2 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Intfloat | E5 大型 V2 | huggingface-sentencesimilarity-e5-large-v2 | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Intfloat | 多語言 E5 基礎 | huggingface-sentencesimilarity-multilingual-e5-base | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Intfloat | 多語言 E5 Large | huggingface-sentencesimilarity-multilingual-e5-large | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Langboat | Langboat Guohua Diffusion | huggingface-txt2img-langboat-guohua-diffusion | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.2xlarge、ml.g4dn.xlarge、ml.p3.2xlarge | | Lighteternal | Lighteternal Nli Xlm R 希臘文 | huggingface-zstc-lighteternal-nli-xlm-r-greek | 零鏡頭分類 | apache-2.0 | 否 | 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 | 產生文字 | llama2 | 是 | 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 | 產生文字 | llama3.1 | 是 | ml.g6e.48xlarge、ml.p5en.48xlarge | | Meta | Llama-3.1-8B-Instruct | meta-textgeneration-llama-3-1-8b-instruct | 產生文字 | llama3.1 | 是 | 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 | 產生文字 | llama3.2 | 是 | 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 | 產生文字 | llama3.2 | 是 | 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 | 產生文字 | llama3.2 | 是 | 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 | 產生文字 | llama3.2 | 是 | 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 | 產生文字 | llama3.2 | 否 | 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.g6.48xlarge、ml.g6e.12xlarge、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 | 產生文字 | llama3.1 | 否 | 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 | Meta Code Llama 13B | meta-textgeneration-llama-codellama-13b | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 13B Instruct | meta-textgeneration-llama-codellama-13b-instruct | 產生文字 | llama2 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 13B Python | meta-textgeneration-llama-codellama-13b-python | 產生文字 | llama2 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 34B | meta-textgeneration-llama-codellama-34b | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 34B Instruct | meta-textgeneration-llama-codellama-34b-instruct | 產生文字 | llama2 | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 34B Python | meta-textgeneration-llama-codellama-34b-python | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 70B | meta-textgeneration-llama-codellama-70b | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 70B Instruct | meta-textgeneration-llama-codellama-70b-instruct | 產生文字 | llama2 | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 70B Neuron | meta-textgenerationneuron-llama-codellama-70b | 產生文字 | llama2 | 否 | ml.inf2.48xlarge | | Meta | Meta Code Llama 70B Python | meta-textgeneration-llama-codellama-70b-python | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Code Llama 7B | meta-textgeneration-llama-codellama-7b | 產生文字 | llama2 | 是 | 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 | Meta Code Llama 7B Instruct | meta-textgeneration-llama-codellama-7b-instruct | 產生文字 | llama2 | 否 | 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 | Meta Code Llama 7B Neuron | meta-textgenerationneuron-llama-codellama-7b | 產生文字 | llama2 | 否 | ml.inf2.8xlarge、ml.inf2.xlarge | | Meta | Meta Code Llama 7B Python | meta-textgeneration-llama-codellama-7b-python | 產生文字 | llama2 | 是 | 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 Code Llama 7B Python Neuron | meta-textgenerationneuron-llama-codellama-7b-python | 產生文字 | llama2 | 否 | ml.inf2.8xlarge、ml.inf2.xlarge | | Meta | Meta Llama 2 13B | meta-textgeneration-llama-2-13b | 產生文字 | llama2 | 是 | 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 | 產生文字 | llama2 | 是 | 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 | 產生文字 | llama2 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge | | Meta | Meta Llama 2 13B Neuron | meta-textgenerationneuron-llama-2-13b | 產生文字 | llama2 | 是 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge | | Meta | Meta Llama 2 70B | meta-textgeneration-llama-2-70b | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat | meta-textgeneration-llama-2-70b-f | 產生文字 | llama2 | 是 | ml.g5.48xlarge、ml.p4d.24xlarge | | Meta | Meta Llama 2 70B Chat Neuron | meta-textgenerationneuron-llama-2-70b-f | 產生文字 | llama2 | 否 | ml.inf2.48xlarge | | Meta | Meta Llama 2 70B Neuron | meta-textgenerationneuron-llama-2-70b | 產生文字 | llama2 | 否 | ml.inf2.48xlarge | | Meta | Meta Llama 2 7B Chat | meta-textgeneration-llama-2-7b-f | 產生文字 | llama2 | 是 | 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 | 產生文字 | llama2 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge、ml.inf2.xlarge | | Meta | Meta Llama 2 7B Neuron | meta-textgenerationneuron-llama-2-7b | 產生文字 | llama2 | 是 | 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 | 產生文字 | llama3.1 | 否 | 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 | 產生文字 | llama3 | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3 70B Instruct | meta-textgeneration-llama-3-70b-instruct | 產生文字 | llama3 | 是 | 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 | 產生文字 | llama3 | 否 | ml.trn1.32xlarge | | Meta | Meta Llama 3 70B Neuron | meta-textgenerationneuron-llama-3-70b | 產生文字 | llama3 | 否 | ml.trn1.32xlarge | | Meta | Meta Llama 3 8B Instruct | meta-textgeneration-llama-3-8b-instruct | 產生文字 | llama3 | 是 | 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 | 產生文字 | llama3 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge | | Meta | Meta Llama 3 8B Neuron | meta-textgenerationneuron-llama-3-8b | 產生文字 | llama3 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge | | Meta | Meta Llama 3.1 405B FP8 | meta-textgeneration-llama-3-1-405b-fp8 | 產生文字 | llama3.1 | 是 | ml.p4de.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3.1 405B Instruct FP8 | meta-textgeneration-llama-3-1-405b-instruct-fp8 | 產生文字 | llama3.1 | 是 | ml.p4de.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3.1 70B | meta-textgeneration-llama-3-1-70b | 產生文字 | llama3.1 | 是 | 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 | 產生文字 | llama3.1 | 否 | ml.inf2.48xlarge、ml.trn1.32xlarge、ml.trn1n.32xlarge | | Meta | Meta Llama 3.1 70B Neuron | meta-textgenerationneuron-llama-3-1-70b | 產生文字 | llama3.1 | 否 | ml.inf2.48xlarge、ml.trn1.32xlarge、ml.trn1n.32xlarge | | Meta | Meta Llama 3.1 8B | meta-textgeneration-llama-3-1-8b | 產生文字 | llama3.1 | 是 | 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.g6.2xlarge、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 | 產生文字 | llama3.1 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge、ml.trn1.2xlarge、ml.trn1.32xlarge、ml.trn1n.32xlarge | | Meta | Meta Llama 3.2 11B 視覺 | meta-vlm-llama-3-2-11b-vision | Image-Text-to-Text | llama3.2 | 是 | ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3.2 11B 視覺指示 | meta-vlm-llama-3-2-11b-vision-instruct | Image-Text-to-Text | llama3.2 | 是 | 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 | 產生文字 | llama3.2 | 否 | 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 Neuron | meta-textgenerationneuron-llama-3-2-1b | 產生文字 | llama3.2 | 否 | 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 | 產生文字 | llama3.2 | 否 | 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 | 產生文字 | llama3.2 | 否 | 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 視覺 | meta-vlm-llama-3-2-90b-vision | Image-Text-to-Text | llama3.2 | 是 | ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3.2 90B 視覺指示 | meta-vlm-llama-3-2-90b-vision-instruct | Image-Text-to-Text | llama3.2 | 是 | ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Meta | Meta Llama 3.3 70B Instruct | meta-textgeneration-llama-3-3-70b-instruct | 產生文字 | llama3.3 | 是 | 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 | 否 | ml.p5en.48xlarge | | Meta | Meta Llama 4 Maverick 17B 128E 指示 | meta-vlm-llama-4-maverick-17b-128e-instruct | Image-Text-to-Text | llama4 | 否 | ml.p5en.48xlarge | | Meta | Meta Llama 4 定位器 17B 16E 指示 | meta-vlm-llama-4-scout-17b-16e-instruct | Image-Text-to-Text | llama4 | 是 | ml.g6e.48xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Meta | Meta Llama Guard 3 11B 視覺 | meta-vlm-llama-guard-3-11b-vision | Image-Text-to-Text | llama3.2 | 否 | 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 | 產生文字 | llama3.2 | 否 | 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 | 產生文字 | llama3.1 | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge、ml.trn1.2xlarge、ml.trn1.32xlarge、ml.trn1n.32xlarge | | Meta | Meta Llama Guard 7B | meta-textgeneration-llama-guard-7b | 產生文字 | llama2 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p4d.24xlarge | | Meta | Meta Llama Prompt Guard 86M | meta-tc-llama-prompt-guard-86m | 文字分類 | llama3.1 | 否 | 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 | 影像分割 | apache-2.0 | 否 | ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera Large | meta-vs-sam-2-1-hiera-large | 影像分割 | apache-2.0 | 否 | ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Meta | Meta SAM 2.1 Hiera Small | meta-vs-sam-2-1-hiera-small | 影像分割 | apache-2.0 | 否 | 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 | 影像分割 | apache-2.0 | 否 | 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 | 產生文字 | llama3 | 是 | 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 | 產生文字 | mit | 否 | 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 | 產生文字 | mit | 否 | 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 | 產生文字 | mit | 否 | 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 | 產生文字 | mit | 否 | ml.g5.48xlarge、ml.p4d.24xlarge | | Microsoft | 資料表轉換器偵測 | huggingface-od-microsoft-table-transformer-detection | Object Detection | mit | 否 | 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 | | Minimaxai | MiniMax-M2 | huggingface-llm-minimax-m2 | 產生文字 | 其他 | 否 | mlp4d.24xlarge | | Minimaxai | MiniMax-M2.1 | huggingface-llm-minimax-m2-1 | 產生文字 | 其他 | 否 | ml.p4de.24xlarge、ml.p5.48xlarge | | Minimaxai | MiniMax-M2.5 | huggingface-llm-minimax-m2-5 | 產生文字 | 其他 | 否 | ml.p5.48xlarge | | Minimaxai | MiniMax-M2.7 | huggingface-llm-minimax-m2-7 | 產生文字 | 其他 | 否 | ml.p5en.48xlarge | | 密德拉賴 | Mistral 7B Instruct Neuron | huggingface-llmneuron-mistral-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.inf2.8xlarge、ml.inf2.xlarge | | 密德拉賴 | Mistral 7B Neuron | huggingface-llmneuron-mistral-7b | 產生文字 | apache-2.0 | 否 | ml.inf2.8xlarge、ml.inf2.xlarge | | 密德拉賴 | Mistral Nemo Base 2407 | huggingface-llm-mistral-nemo-base-2407 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | 密德拉賴 | Mistral Nemo Instruct 2407 | huggingface-llm-mistral-nemo-instruct-2407 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | 密德拉賴 | Mistral Pixtral-12B-2409 | huggingface-vlm-mistral-pixtral-12b-2409 | Image-Text-to-Text | apache-2.0 | 否 | ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mistral-7B-Instruct-v0.2 | huggingface-llm-mistral-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g6.24xlarge、ml.g6e.2xlarge、ml.p3.16xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-v3 | 產生文字 | apache-2.0 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.2xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mistral-7B-Instruct-v0.3 | huggingface-llm-mistral-7b-instruct-v3 | 產生文字 | apache-2.0 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.2xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mistral-7B-v0.1 | huggingface-llm-mistral-7b | 產生文字 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.p3.16xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mistral-Small-24B-Instruct-2501 | huggingface-llm-mistral-small-24B-Instruct-2501 | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.12xlarge、ml.g6e.24xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | 密德拉賴 | Mistral-Small-3.1-24B-Base-2503 | huggingface-vlm-mistral-small-3-1-24b-base-2503 | Image-Text-to-Text | apache-2.0 | 否 | ml.g6.12xlarge、ml.g6.16xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.g6e.12xlarge | | 密德拉賴 | Mistral-Small-3.2-24B-Instruct-2506 | huggingface-vlm-mistral-small-3-2-24b-instruct-2506 | Image-Text-to-Text | apache-2.0 | 否 | ml.g6.12xlarge、ml.g6.16xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.g6e.12xlarge | | 密德拉賴 | Mixtral 8x7B | huggingface-llm-mixtral-8x7b | 產生文字 | apache-2.0 | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mixtral-8x22B V1 | huggingface-llm-mixtral-8x22B | 產生文字 | apache-2.0 | 否 | ml.p4d.24xlarge、ml.p4de.24xlarge | | 密德拉賴 | Mixtral-8x22B-Instruct-v0.1 | huggingface-llm-mistralai-mixtral-8x22B-instruct-v0-1 | 產生文字 | apache-2.0 | 否 | ml.p4de.24xlarge、ml.p5.48xlarge | | 密德拉賴 | Mixtral-8x7B-Instruct-v0.1 | huggingface-llm-mixtral-8x7b-instruct | 產生文字 | apache-2.0 | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.12xlarge、ml.p4d.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Moonshotai | Kimi-K2.5 | huggingface-llm-kimi-k2-5 | 產生文字 | 其他 | 否 | ml.p5en.48xlarge | | Moritzlaurer | MoritzLaurer MDeBERTa V3 Base Xnli 多語言 Nli 2mil7 | huggingface-zstc-moritzlaurer-mdeberta3base-xnli-mling-nli-2m7 | 零鏡頭分類 | mit | 否 | 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 | 產生文字 | Apache-2.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Mosaicml | MPT 7B Instruct BF16 | huggingface-textgeneration1-mpt-7b-instruct-bf16 | 產生文字 | CC-BY-SA-3.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Mrm8488 | Bert Small2bert | huggingface-summarization-bert-small2bert-cnn-dailymail-summ | 文字摘要 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 財務文字內嵌 | mxnet-tcembedding-robertafin-base-uncased | 文字嵌入 | apache-2.0 | 否 | 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 | 文字嵌入 | apache-2.0 | 否 | 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 | 文字嵌入 | apache-2.0 | 否 | 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 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Naclbit | Naclbit Trinart 穩定擴散 V2 | huggingface-txt2img-naclbit-trinart-stable-diffusion-v2 | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 納西爾文 | Narsil Deberta 大型 Mnli 零 Cl | huggingface-zstc-narsil-deberta-large-mnli-zero-cls | 零鏡頭分類 | mit | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Nexaai | NexaAI Octopus-v2 | huggingface-llm-nexaaidev-octopus-v2 | 產生文字 | cc-by-nc-4.0 | 否 | 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 | 產生文字 | apache-2.0 | 否 | 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 | 產生文字 | llama3 | 否 | 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 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | Nova | Nova 2.0 Lite | nova-textgeneration-lite-v2 | 產生文字 | AWS 服務條款 | 是 | | | Nova | Nova Lite | nova-textgeneration-lite | 產生文字 | AWS 服務條款 | 是 | | | Nova | Nova Micro | nova-textgeneration-micro | 產生文字 | AWS 服務條款 | 是 | | | Nova | Nova Pro | nova-textgeneration-pro | 產生文字 | AWS 服務條款 | 是 | | | Nvidia | Nvidia Llama3-ChatQA-1.5 8B | huggingface-llm-nvidia-llama3-chatqa-1-5-8B | 產生文字 | llama3 | 否 | 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 | 推理 | 其他 | 否 | ml.g6e.24xlarge、ml.g7e.12xlarge | | Nvidia | NVIDIA-Nemotron-3-Super-120B-A12B-FP8 | huggingface-reasoning-nvidia-nemotron-3-super-120b-a12b-fp8 | 推理 | 其他 | 否 | ml.g7e.24xlarge | | Nvidia | nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | huggingface-vlm-nvidia-nemotron3-nano-omni-30ba3b-reasoning-fp8 | Image-Text-to-Text | 其他 | 否 | ml.g6.12xlarge、ml.g6.24xlarge、ml.g6e.12xlarge、ml.g6e.24xlarge | | Openai | gpt-oss-120b | openai-reasoning-gpt-oss-120b | 推理 | apache-2.0 | 是 | ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Openai | gpt-oss-20b | openai-reasoning-gpt-oss-20b | 推理 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Openai | 低語基礎 | huggingface-asr-whisper-base | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 低語大型 | huggingface-asr-whisper-large | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 低語大型 V2 | huggingface-asr-whisper-large-v2 | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 低語大型 V3 | huggingface-asr-whisper-large-v3 | 自動語音辨識 | apache-2.0 | 否 | 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 | 自動語音辨識 | mit | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 低語中 | huggingface-asr-whisper-medium | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 小型低語 | huggingface-asr-whisper-small | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai | 悄悄話 | huggingface-asr-whisper-tiny | 自動語音辨識 | apache-2.0 | 否 | ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Openai-Community | GPT 2 | huggingface-textgeneration-gpt2 | 產生文字 | mit | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Openai-Community | GPT-2 XL | huggingface-textgeneration1-gpt-2-xl | 產生文字 | mit | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Openai-Community | RoBERTa Base OpenAI 偵測器 | huggingface-tc-roberta-base-openai-detector | 文字分類 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Openai-Community | RoBERTa Base OpenAI 偵測器 | huggingface-spc-roberta-base-openai-detector | Fill-Mask | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Openai-Community | RoBERTa Base OpenAI 偵測器 | huggingface-eqa-roberta-base-openai-detector | 問題回答 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Openai-Community | RoBERTa Large OpenAI 偵測器 | huggingface-tc-roberta-large-openai-detector | 文字分類 | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Openai-Community | RoBERTa Large OpenAI 偵測器 | huggingface-spc-roberta-large-openai-detector | Fill-Mask | mit | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Openlm-Research | 開啟 Llama 7B V2 | huggingface-llm-openlm-research-open-llama-7b-v2 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge | | Philschmid | Bart Large CNN samsum | huggingface-summarization-bart-large-cnn-samsum | 文字摘要 | mit | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Philschmid | 在 Samsum 資料集上微調的 Flan-T5 基本模型 | huggingface-text2text-flan-t5-base-samsum | Text2Text 產生 | apache-2.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Pytorch | Alexa TM 20B | pytorch-textgeneration1-alexa20b | 產生文字 | amazon-software-license | 否 | ml.g4dn.12xlarge、ml.g5.16xlarge、ml.p3.16xlarge、ml.p3.8xlarge | | Qwen | QVQ 72B 預覽版 | huggingface-vlm-qvq-72b-preview | Image-Text-to-Text | 其他 | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen2 0.5B | huggingface-llm-qwen2-0-5b | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.16xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p4d.24xlarge | | Qwen | Qwen2 0.5B 指示 | huggingface-llm-qwen2-0-5b-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.16xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p4d.24xlarge | | Qwen | Qwen2-1.5B | huggingface-llm-qwen2-1-5b | 產生文字 | apache-2.0 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.xlarge | | Qwen | Qwen2-1.5B-Instruct | huggingface-llm-qwen2-1-5b-instruct | 產生文字 | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.2xlarge、ml.g5.xlarge、ml.g6.2xlarge、ml.g6e.xlarge、ml.p3.2xlarge | | Qwen | Qwen2-7B | huggingface-llm-qwen2-7b | 產生文字 | apache-2.0 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.16xlarge、ml.g6e.24xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Qwen | Qwen2-7B-Instruct | huggingface-llm-qwen2-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.16xlarge、ml.g6e.24xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge | | Qwen | Qwen2-VL-7B-Instruct | huggingface-vlm-qwen2-vl-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Qwen | Qwen2.5 14B 指示 | huggingface-llm-qwen2-5-14b-instruct | 產生文字 | apache-2.0 | 是 | ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen2.5 32B 指示 | huggingface-llm-qwen2-5-32b-instruct | 產生文字 | apache-2.0 | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen2.5 Coder 32B 指示 | huggingface-llm-qwen2-5-coder-32b-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen2.5 Coder 7B 指示 | huggingface-llm-qwen2-5-coder-7b-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.g6.16xlarge、ml.g6.4xlarge、ml.g6.8xlarge、ml.p4d.24xlarge | | Qwen | Qwen2.5-72B-Instruct | huggingface-llm-qwen2-5-72b-instruct | 產生文字 | 其他 | 是 | ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | Qwen | Qwen2.5-7B-Instruct | huggingface-llm-qwen2-5-7b-instruct | 產生文字 | apache-2.0 | 是 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.xlarge | | Qwen | Qwen3 14B | huggingface-reasoning-qwen3-14b | 推理 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen3-0.6B | huggingface-reasoning-qwen3-06b | 推理 | apache-2.0 | 是 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.2xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | Qwen | Qwen3-1.7B | huggingface-reasoning-qwen3-1-7b | 推理 | apache-2.0 | 是 | 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.g6e.12xlarge、ml.g6e. | | Qwen | Qwen3-30B-A3B | huggingface-reasoning-qwen3-30b-a3b | 推理 | apache-2.0 | 否 | ml.g5.24xlarge | | Qwen | Qwen3-30B-A3B-Instruct-2507 | huggingface-reasoning-qwen3-30b-a3b-instruct-2507 | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.12xlarge、ml.p4de.24xlarge | | Qwen | Qwen3-30B-A3B-Thinking-2507 | huggingface-reasoning-qwen3-30b-a3b-thinking-2507 | 推理 | apache-2.0 | 否 | ml.g6e.12xlarge | | Qwen | Qwen3-32B | huggingface-reasoning-qwen3-32b | 推理 | apache-2.0 | 是 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.12xlarge、ml.p4d.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Qwen | Qwen3-4B | huggingface-reasoning-qwen3-4b | 推理 | apache-2.0 | 是 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.16xlarge、ml.g5.24xlarge、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.g6.4xlarge、ml.g6.8xlarge、ml.g6.g6.xlarge、ml.g6.16.g.16 | | Qwen | Qwen3-4B-Instruct-2507 | huggingface-reasoning-qwen3-4b-instruct-2507 | 推理 | apache-2.0 | 否 | 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 | | Qwen | Qwen3-8B | huggingface-reasoning-qwen3-8b | 推理 | apache-2.0 | 是 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Qwen | Qwen3-Coder-30B-A3B-Instruct | huggingface-reasoning-qwen3-coder-30b-a3b-instruct | 推理 | apache-2.0 | 否 | ml.g6e.24xlarge | | Qwen | Qwen3-Coder-Next | huggingface-reasoning-qwen3-coder-next | 推理 | apache-2.0 | 否 | ml.g7e.24xlarge、ml.g7e.48xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | Qwen | Qwen3-Next-80B-A3B-Instruct | huggingface-reasoning-qwen3-next-80b-a3b-instruct | 產生文字 | apache-2.0 | 否 | ml.g6e.48xlarge、ml.p4de.24xlarge | | Qwen | Qwen3-VL-8B-Instruct | huggingface-vlm-qwen3-vl-8b-instruct | 產生文字 | apache-2.0 | 否 | ml.g6e.24xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge | | Qwen | Qwen3.5-0.8B | huggingface-vlm-qwen3-5-0-8b | 產生文字 | apache-2.0 | 否 | ml.g6.4xlarge、ml.g6e.12xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.xlarge、ml.g7e.4xlarge | | Qwen | Qwen3.5-27b | huggingface-vlm-qwen3-5-27b | 產生文字 | apache-2.0 | 是 | ml.g6.48xlarge | | Qwen | Qwen3.5-27B-FP8 | huggingface-vlm-qwen3-5-27b-fp8 | Image-Text-to-Text | apache-2.0 | 否 | ml.g6.24xlarge | | Qwen | Qwen3.5-2B | huggingface-vlm-qwen3-5-2b | 產生文字 | apache-2.0 | 否 | ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Qwen | Qwen3.5-4B | huggingface-vlm-qwen3-5-4b | 產生文字 | apache-2.0 | 是 | ml.g6.12xlarge、ml.g6e.24xlarge、ml.g7e.12xlarge、ml.g7e.2xlarge、ml.g7e.4xlarge、ml.g7e.8xlarge | | Qwen | Qwen3.5-9b | huggingface-vlm-qwen3-5-9b | 產生文字 | apache-2.0 | 是 | ml.g6.24xlarge、ml.g6.48xlarge | | Qwen | Qwen3.6-27B | huggingface-vlm-qwen3-6-27b | Image-Text-to-Text | apache-2.0 | 否 | ml.g7e.12xlarge、ml.g7e.24xlarge、ml.g7e.48xlarge、ml.p5en.48xlarge | | Qwen | Qwen3.6-35B-A3B | huggingface-vlm-qwen3-6-35b-a3b | 產生文字 | apache-2.0 | 否 | ml.g6e.24xlarge、ml.g6e.48xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | Qwen | QwQ 32B | huggingface-llm-qwq-32b | 產生文字 | apache-2.0 | 否 | ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge | | Recognai | Recognai Bert Base 西班牙文 Wwm Cased Xnli | huggingface-zstc-recognai-bert-base-spanish-wwm-cased-xnli | 零鏡頭分類 | mit | 否 | 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 | 零鏡頭分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 林納 | Rinna 日文 GPT NeoX 3.6B 指令 PPO | huggingface-llm-rinna-3-6b-instruction-ppo-bf16 | 產生文字 | mit | 否 | ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.xlarge | | Salesforce | Salesforce SFR-Embedding-2\_R | huggingface-textembedding-sfr-embedding-2-r | 文字嵌入 | CC-BY-NC-4.0 | 否 | 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 | 文字嵌入 | CC-BY-NC-4.0 | 否 | 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 | | Sentence-Transformers | 所有 MiniLM L6 v2 | huggingface-textembedding-all-MiniLM-L6-v2 | 文字嵌入 | Apache-2.0 | 否 | 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 | | Sentence-Transformers | 所有 MiniLM L6 v2 | huggingface-sentencesimilarity-all-MiniLM-L6-v2 | 句子相似性 | apache-2.0 | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Sentence-Transformers | 重述多語言 MiniLM L12 v2 | huggingface-textembedding-paraphrase-multilingual-MiniLM-L12-v2 | 文字嵌入 | Apache-2.0 | 否 | ml.g5.xlarge、ml.g6.xlarge、ml.g6e.xlarge | | Shenzhi-Wang | Llama3 8B 中文聊天 | huggingface-llm-shenzhi-wang-llama3-8B-chinese-chat | 產生文字 | llama3 | 否 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Snowflake | Snowflake Arctic Instruct Vllm | huggingface-llm-snowflake-arctic-instruct-vllm | 產生文字 | apache-2.0 | 否 | ml.p5.48xlarge | | 語音 | Bielik-11B-v3.0-Instruct | huggingface-llm-bielik-11b-v3-0-instruct | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g7e.2xlarge、ml.p4d.24xlarge、ml.p5en.48xlarge | | Sshleifer | Distilbart CNN 12-6 | huggingface-summarization-distilbart-cnn-12-6 | 文字摘要 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Sshleifer | Distilbart CNN 6-6 | huggingface-summarization-distilbart-cnn-6-6 | 文字摘要 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Sshleifer | 文字摘要 | huggingface-summarization-distilbart-xsum-1-1 | 文字摘要 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | 穩定性 | 日文 StableLM 指示 Alpha 7B v2 | model-textgenerationjp-japanese-stablelm-instruct-alpha-7b-v2 | 產生文字 | Apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.16xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | 穩定性 | 穩定擴散 2 | model-txt2img-stabilityai-stable-diffusion-v2 | Text-to-Image | creativeml-openrail\+\+-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 2 深度 FP16 | model-depth2img-stable-diffusion-2-depth-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 否 | 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 | | 穩定性 | 穩定擴散 2 FP16 | model-txt2img-stabilityai-stable-diffusion-v2-fp16 | Text-to-Image | creativeml-openrail\+\+-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 2 注入 | model-inpainting-stabilityai-stable-diffusion-2-inpainting | Image-to-Image | creativeml-openrail\+\+-m | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 2 注入 FP16 | model-inpainting-stabilityai-stable-diffusion2-inpainting-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 否 | ml.g4dn.xlarge、ml.g5.2xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 2 注入 FP16 | model-inpainting-stabilityai-stable-diffusion-2-inpainting-fp16 | Image-to-Image | creativeml-openrail\+\+-m | 否 | ml.g4dn.xlarge、ml.g5.2xlarge、ml.p3.2xlarge | | 穩定性 | Stable Diffusion 2.1 | model-txt2img-stabilityai-stable-diffusion-v2-1-base | Text-to-Image | creativeml-openrail\+\+-m | 是 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 2.1 Neuron | huggingface-txt2imgneuron-stabilityai-stable-diffusion-v2-1 | Text-to-Image | creativeml-openrail\+\+-m | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge、ml.inf2.xlarge | | 穩定性 | 穩定擴散 x4 向上擴展器 FP16 | model-upscaling-stabilityai-stable-diffusion-x4-upscaler-fp16 | Image-to-Image | Openrail\+\+ | 否 | ml.g4dn.4xlarge、ml.g4dn.8xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | 穩定性 | 穩定擴散 XL 1.0 （開放原始碼） | model-imagegeneration-stabilityai-stable-diffusion-xl-base-1-0 | Text-to-Image | Openrail\+\+ | 否 | ml.g5.16xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 穩定性 | 穩定擴散 XL Base 1.0 Neuron | huggingface-txt2imgneuron-stabilityai-stable-diffusion-xlbase1 | Text-to-Image | Openrail\+\+ | 否 | ml.inf2.24xlarge、ml.inf2.48xlarge、ml.inf2.8xlarge、ml.inf2.xlarge | | 瑞士 Ai | Apertus 70B 2509 | huggingface-llm-apertus-70b-2509 | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | 瑞士 Ai | Apertus 70B 指示 2509 | huggingface-llm-apertus-70b-instruct-2509 | 產生文字 | apache-2.0 | 否 | ml.g5.48xlarge、ml.g6.48xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | 瑞士 Ai | Apertus 8B 指示 2509 | huggingface-llm-apertus-8b-instruct-2509 | 產生文字 | apache-2.0 | 否 | 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.g6.48xlarge、ml.g6.4xlarge、ml.g6.xlarge、ml.g6.xlarge、ml.g6e.12xlarge、ml. | | 調用 | Mistral 7B OpenOrca AWQ | huggingface-llm-thebloke-mistral-7b-openorca-awq | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge、ml.g5.48xlarge | | 調用 | Mistral 7B OpenOrca GPTQ | huggingface-llm-mistral-7b-openorca-gptq | 產生文字 | apache-2.0 | 否 | 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 | | 調用 | 混合 8x7B 指示 GPTQ | huggingface-llm-mixtral-8x7b-instruct-gptq | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Thenlper | GTE 大型 | huggingface-sentencesimilarity-gte-large | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Thenlper | GTE 小型 | huggingface-sentencesimilarity-gte-small | 句子相似性 | mit | 是 | ml.c6i.xlarge、ml.g4dn.2xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.p3.2xlarge | | Tiiuae | Falcon 180B BF16 | huggingface-llm-falcon-180b-bf16 | 產生文字 | 不明 | 否 | ml.p4de.24xlarge、ml.p5.48xlarge | | Tiiuae | Falcon 180B 聊天 BF16 | huggingface-llm-falcon-180b-chat-bf16 | 產生文字 | 不明 | 否 | ml.p4de.24xlarge、ml.p5.48xlarge | | Tiiuae | Falcon 40B BF16 | huggingface-llm-falcon-40b-bf16 | 產生文字 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Tiiuae | Falcon 40B Instruct BF16 | huggingface-llm-falcon-40b-instruct-bf16 | 產生文字 | apache-2.0 | 是 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Tiiuae | Falcon 7B BF16 | huggingface-llm-falcon-7b-bf16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Tiiuae | Falcon 7B Instruct BF16 | huggingface-llm-falcon-7b-instruct-bf16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Tiiuae | Falcon RW 1B | huggingface-llm-tiiuae-falcon-rw-1b | 產生文字 | apache-2.0 | 否 | ml.g5.2xlarge | | Tiiuae | Falcon-H1-0.5B-Instruct | huggingface-llm-falcon-h1-0-5b-instruct | 產生文字 | 其他 | 否 | 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.g5.4xlarge、ml.5.8xlarge、ml.g5.xlarge、ml.g6.12xlarge、ml.g6.16xlarge、ml. | | Tiiuae | Falcon-H1-1.5B-Deep-Instruct | huggingface-llm-falcon-h1-1-5b-deep-instruct | 產生文字 | 其他 | 否 | 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 | | Tiiuae | Falcon-H1-1.5B-Instruct | huggingface-llm-falcon-h1-1-5b-instruct | 產生文字 | 其他 | 否 | 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.16xlarge、ml.g6e.24xlarge、ml.g6e.2xlarge、ml.g6e.48xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Tiiuae | Falcon-H1-34B-Instruct | huggingface-llm-falcon-h1-34b-instruct | 產生文字 | 其他 | 否 | ml.g6e.12xlarge、ml.g6e.24xlarge、ml.g6e.48xlarge | | Tiiuae | Falcon-H1-3B-Instruct | huggingface-llm-falcon-h1-3b-instruct | 產生文字 | 其他 | 否 | ml.g6e.16xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Tiiuae | Falcon-H1-7B-Instruct | huggingface-llm-falcon-h1-7b-instruct | 產生文字 | 其他 | 否 | ml.g6e.12xlarge、ml.g6e.24xlarge | | Tiiuae | Falcon2-11B | huggingface-llm-falcon2-11b | 產生文字 | 不明 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Tiiuae | Falcon3-10B-Base | huggingface-llm-falcon-3-10B-base | 產生文字 | 其他 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Tiiuae | Falcon3-10B-Instruct | huggingface-llm-falcon-3-10B-Instruct | 產生文字 | 其他 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.16xlarge、ml.g6e.24xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | Tiiuae | Falcon3-1B-Instruct | huggingface-llm-falcon-3-1B-Instruct | 產生文字 | 其他 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.g6.xlarge、ml.g6e.xlarge、ml.p3.2xlarge、ml.p4d.24xlarge | | Tiiuae | Falcon3-3B-Base | huggingface-llm-falcon-3-3B-base | 產生文字 | 其他 | 否 | 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.g6.48xlarge、ml.g6.4xlarge、ml.g6.xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Tiiuae | Falcon3-3B-Instruct | huggingface-llm-falcon-3-3B-Instruct | 產生文字 | 其他 | 否 | 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.g6.24xlarge、ml.g6.2xlarge、ml.g6.8xlarge、ml.g6e.12xlarge、ml.g6e. | | Tiiuae | Falcon3-7B-Base | huggingface-llm-falcon-3-7B-base | 產生文字 | 其他 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge、ml.g6.12xlarge、ml.g6.24xlarge、ml.g6.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge | | Tiiuae | Falcon3-7B-Instruct | huggingface-llm-falcon-3-7B-Instruct | 產生文字 | 其他 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g6.12xlarge、ml.g6e.12xlarge、ml.g6e.24xlarge、ml.g6e.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.xlarge | | 提尼爾馬 | Tiny Llama 1.1B | huggingface-llm-tinyllama-1-1b-intermediate-step-1431k-3 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge | | 提尼爾馬 | Tiny Llama 1.1B 聊天 V0.6 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v0-6 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge | | 提尼爾馬 | Tiny Llama 1.1B 聊天 V1 | huggingface-llm-tinyllama-tinyllama-1-1b-chat-v1-0 | 產生文字 | apache-2.0 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.2xlarge | | 結合電腦 | RedPajama INCITE Chat 3B V1 | huggingface-textgeneration1-redpajama-incite-chat-3B-v1-fp16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 結合電腦 | RedPajama INCITE Chat 7B V1 | huggingface-textgeneration1-redpajama-incite-chat-7B-v1-fp16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 結合電腦 | RedPajama INCITE Instruct 3B V1 | huggingface-textgeneration1-redpajama-incite-instruct-3Bv1fp16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | 結合電腦 | RedPajama INCITE Instruct 7B V1 | huggingface-textgeneration1-redpajama-incite-instruct-7B1fp16 | 產生文字 | apache-2.0 | 是 | ml.g5.16xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge | | Tokyotech-Llm | Swallow-7b-instruct-hf | huggingface-llm-swallow-7b-instruct-hf | 產生文字 | llama2 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.16xlarge、ml.g5.24xlarge、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.g6.4xlarge、ml.g6.8xlarge、ml.g6.g6.xlarge、ml.g6.16.g.16 | | Volrath50 | volrath50 幻想卡擴散 | huggingface-txt2img-volrath50-fantasy-card-diffusion | Text-to-Image | creativeml-openrail-m | 否 | ml.g4dn.2xlarge、ml.g4dn.xlarge、ml.p3.2xlarge | | 寫入器 | Writer Palmyra Small | huggingface-llm-writer-palmyra-small | 產生文字 | apache-2.0 | 否 | ml.g5.2xlarge | ------ #### [ Proprietary Models (121) ] 專屬基礎模型由第三方供應商透過 Amazon SageMaker JumpStart 提供。若要使用專屬基礎模型，您必須先在 AWS Marketplace 中訂閱模型。訂閱後，您可以在 Amazon SageMaker Studio 中尋找和部署基礎模型。 | 模型名稱 | 模型 ID | 任務 | 可微調 | 支援的推論執行個體類型 | | --- | --- | --- | --- | --- | | A.X 4.0 Light | sk-telecom-ax4-light | 產生文字 | 否 | ml.g5.2xlarge | | AI21 內容答案 | ai21-contextual-answers | 產生文字 | 否 | ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.g4dn.12xlarge | | AI21 Jurassic-2 Light | ai21-jurassic-2-light | 產生文字 | 否 | ml.g4dn.12xlarge、ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | AI21 Jurassic-2 中 | ai21-jurassic-2-grande-instruct | 產生文字 | 否 | ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.g4dn.12xlarge | | AI21 Jurassic-2 Ultra | ai21-jurassic-2-jumbo-instruct | 產生文字 | 否 | ml.g5.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | AI21 重述 | ai21-paraphrase | 產生文字 | 否 | ml.g4dn.2xlarge | | AI21 摘要 | ai21-summarization | 產生文字 | 否 | ml.g4dn.4xlarge、ml.g4dn.12xlarge、ml.g5.xlarge | | Arcee Lite | arcee-lite | 產生文字 | 否 | 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 | 產生文字 | 否 | ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge | | Arcee Virtuoso Small | arcee-virtuoso-small | 產生文字 | 否 | 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 Text-to-image | bria-ai-2-2-hd-commercial | ReRank | 否 | ml.g5.2xlarge、ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Bria 2.3 Text-to-image | bria-ai-2-3-commercial | ReRank | 否 | ml.g5.2xlarge、ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Bria 2.3快速商業Text-to-image | bria-ai-2-3-fast-commercial | ReRank | 否 | ml.g5.2xlarge、ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Cohere 命令 R (A100) | cohere-command-r-a100 | 產生文字 | 否 | mlp4d.24xlarge | | Cohere 命令 R (H100) | cohere-command-r-h100 | 產生文字 | 否 | ml.p5.48xlarge | | Cohere 命令 R\+ (A100) | cohere-command-r-plus-a100 | 產生文字 | 否 | mlp4d.24xlarge | | Cohere 命令 R\+ (H100) | cohere-command-r-plus-h100 | 產生文字 | 否 | ml.p5.48xlarge | | Cohere 內嵌 4 | cohere-embed-v4-0 | 文字嵌入 | 否 | ml.g5.xlarge、ml.g5.2xlarge、ml.g6.xlarge、ml.g6.2xlarge | | Cohere Embed Light Model v3 - 英文 | cohere-embed-light-english | 文字嵌入 | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere Embed Light v3 - 多語言 | cohere-embed-light-multilingual | 文字嵌入 | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere Embed Model 3 - 多語言 | cohere-embed-multilingual | 文字嵌入 | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere 內嵌模型 v3 - 英文 | cohere-embed-english | 文字嵌入 | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 2 模型 - 英文 | cohere-rerank-english-v2 | ReRank | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 2 模型 - 多語言 | cohere-rerank-multilingual-v2 | ReRank | 否 | ml.p3.2xlarge、ml.g4dn.xlarge、ml.g4dn.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 3 模型 - 英文 | cohere-rerank-v3-english | ReRank | 否 | ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 3 模型 - 多語言 | cohere-rerank-v3-multilingual | ReRank | 否 | ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 3 Nimble 模型 - 英文 | cohere-rerank-nimble-english | ReRank | 否 | ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 3 Nimble 模型 - 多 | cohere-rerank-nimble-multi | ReRank | 否 | ml.g5.xlarge、ml.g5.2xlarge | | Cohere 重新排名 v3.5 | cohere-rerank-v3-5 | 文字嵌入 | 否 | ml.g6.xlarge、ml.g6.2xlarge、ml.g5.xlarge、ml.g5.2xlarge | | Cohere Rerank v4.0 Fast | cohere-rerank-v4-0-fast | 文字嵌入 | 否 | ml.g5.xlarge、ml.g5.2xlarge、ml.p5.4xlarge | | Cohere Rerank v4.0 Pro | cohere-rerank-v4-0-pro | 文字嵌入 | 否 | ml.g5.xlarge、ml.g5.2xlarge、ml.p5.4xlarge | | 命令 A (A100) | cohere-command-a-a100 | 產生文字 | 否 | mlp4d.24xlarge | | 命令 A (H100) | cohere-command-a-h100 | 產生文字 | 否 | ml.p5.48xlarge | | 命令 R 08-2024 (H100) | cohere-command-r-08-2024-h100 | 產生文字 | 否 | ml.p5.48xlarge | | 命令 R\+ 2024 年 8 月 (H100) | cohere-command-r-plus-08-2024-h100 | 產生文字 | 否 | ml.p5.48xlarge | | 文件 OCR | upstage-document-ocr | 光學角色辨識 | 否 | ml.g5.2xlarge | | 文件剖析 | upstage-document-layout-analysis | 光學角色辨識 | 否 | ml.g5.2xlarge、ml.g6.2xlarge、ml.p3.2xlarge | | 內嵌 | upstage-solar-embedding-large | 文字嵌入 | 否 | ml.g5.2xlarge | | ESM3-open | evolutionary-scale-esm3 | 多模式產生 | 否 | ml.g5.4xlarge、ml.g5.8xlarge | | Evo2-NIM | nvidia-evo2-nim | 產生文字 | 否 | ml.g6e.12xlarge、ml.g6e.24xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge、ml.p5.48xlarge、ml.p5en.48xlarge | | EXAONE Atelier - 影像轉文字 | lgresearch-exaone | Image2Text 產生 | 否 | ml.g5.xlarge、ml.g5.12xlarge、ml.g5.48xlarge、ml.p4d.24xlarge | | Gretel Navigator Tabular | gretel-navigator-tabular | 產生文字 | 否 | ml.g5.xlarge、ml.g5.2xlarge | | H-Optimus-0 | bioptimus-h-optimus-0 | 特徵擷取 | 否 | ml.g5.xlarge | | IBM Granite 20B Code Instruct - 8K | ibm-granite-20b-code-instruct-8k | 產生文字 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | IBM Granite 3.0 2B 指示 | granite-3-0-2b-instruct | 產生文字 | 否 | ml.p4d.24xlarge、ml.p5.48xlarge | | IBM Granite 3.0 8B 指示 | granite-3-0-8b-instruct | 產生文字 | 否 | ml.p4d.24xlarge、ml.p5.48xlarge | | IBM Granite 3.2 指示 2B | ibm-granite-3-2-2b-instruct | 產生文字 | 否 | 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 指示 8B | ibm-granite-3-2-8b-instruct | 產生文字 | 否 | 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 | 產生文字 | 否 | ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | IBM Granite 3B Code Instruct - 128K | ibm-granite-3b-code-instruct-128k | 產生文字 | 否 | 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 | 產生文字 | 否 | 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 小時小型 | ibm-granite-4-0-h-small | 產生文字 | 否 | 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 小時小型 | ibm-granite-4-0-h-tiny | 產生文字 | 否 | 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 | 產生文字 | 否 | 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 | 產生文字 | 否 | ml.g5.4xlarge | | JetBrains AI Mellum All | jbai-mellum-all | text2text 產生 | 否 | 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 產生 | 否 | 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 產生 | 否 | 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 | 文字嵌入 | 否 | 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.8xlarge、ml.g4dn.12xlarge、ml.g4dn.16xlarge、ml.g5.xlarge、ml.g5.2xlarge、ml.g5.8xlarge、ml.5.12xlarge、ml.5 | | KARAKURI LM 8x7b instruct | karakuri-lm-8x7b-instruct | 產生文字 | 否 | ml.g5.48xlarge、ml.g6.48xlarge | | LightOn Lyra-Fr 10B | lighton-lyra-fr | 產生文字 | 否 | ml.p4d.24xlarge | | LightOn 迷你指令 40B | lighton-mini-instruct40b | 產生文字 | 否 | ml.p4d.24xlarge | | Liquid LFM 40B (A100) | liquid-lfm-40b-a100 | 產生文字 | 否 | ml.p4d.24xlarge | | Liquid LFM 40B (H100) | liquid-lfm-40b-h100 | 產生文字 | 否 | ml.p5.48xlarge | | Liquid LFM 40B (L40S) | liquid-lfm-40b-l40s | 產生文字 | 否 | ml.g6e.12xlarge | | Liquid LFM 7B (L40S) | liquid-lfm-7b-l40s | 產生文字 | 否 | 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 | 產生文字 | 否 | 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 | 產生文字 | 否 | 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 微服務 | nvidia-llama3-2-nv-rerankqa-1b-v2-nim | 產生文字 | 否 | 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.xlarge、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.p.4.4.4 | | Llama 3.3 Nemotron Super 49B V1 | nvidia-nemotron-super-49b-nim | 產生文字 | 否 | 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 | nvidia-nemotron-super-49b-nim-1-5 | 產生文字 | 否 | 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 | 產生文字 | 否 | 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 | 產生文字 | 否 | ml.g5.12xlarge | | Llama-3.1-8B-Instruct 搭配污點玻璃轉換支援 | protopia-llama-3-1-8b-instruct | 產生文字 | 否 | ml.g4dn.12xlarge、ml.g5.4xlarge、ml.g5.16xlarge | | Llama-3.2-NV-EmbedQA-1B-v2 | nvidia-llama3-2-nv-embedqa-1b-v2-nim | 文字嵌入 | 否 | 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.xlarge、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.p.4.4.4 | | MARS6 | cambai-mars6 | 文字轉音訊 | 否 | ml.g4dn.2xlarge、ml.g6.2xlarge | | 醫學 LLM - 中 | john-snow-labs-medical-summarization-qa-8b | 文字摘要 | 否 | ml.g5.2xlarge、ml.g4dn.12xlarge | | 醫學 LLM - 小 | john-snow-labs-summarization-qa | 文字摘要 | 否 | ml.g5.12xlarge | | 醫學文字翻譯 (EN-ES) | john-snow-labs-medical-translation-en-es | 翻譯 | 否 | ml.g5.2xlarge | | Mercury | inception-mercury | 產生文字 | 否 | ml.p5.48xlarge | | Mercury Coder | inception-mercury-coder | 產生文字 | 否 | ml.p5.48xlarge | | msa-search | nvidia-nim-msa-search-v2-1 | 產生文字 | 否 | ml.g6e.12xlarge、ml.g6e.24xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge、ml.p5.48xlarge、ml.p4de.24xlarge、ml.p5en.48xlarge | | Nemotron nano 9b v2 | nvidia-nemotron-nano-9b-v2 | 產生文字 | 否 | ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.g5.16xlarge、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.4 | | nemotron-parse | nvidia-nemotron-parse | 產生文字 | 否 | 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.2xlarge、ml.g6e.4xlarge、ml.g6e.8xlarge、ml.g6e.16xlarge、ml.g6e.12xlarge、ml.g6e.24xlarge、ml.g6e.48xlarge、ml.p4d.24xlarge、ml。 | | NEXUS by Fundamental | fundamental-technologies-nexus | 分類 | 否 | ml.g4dn.8xlarge、ml.p5en.48xlarge | | Nomic Embed Text 1.5 版 | nomic-embed-text | 文字嵌入 | 否 | 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.5.24xlarge、ml.g5.8xlarge | | Nomic Embed Vision 1.5 版 | nomic-embed-image | 文字嵌入 | 否 | 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.5.24xlarge、ml.g5.8xlarge | | NVIDIA Cosmos Reason-1-7B | nvidia-nim-cosmos-reason1-7b | 產生文字 | 否 | 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、ml.p5.48xlarge、ml.p58xlarge | | NVIDIA Nemotron-4 15B NIM 微型服務 | nvidia-nemotron-4-15b-nim | 產生文字 | 否 | ml.g5.12xlarge、ml.g5.24xlarge | | NVIDIA ParakeetvTDT 0.6B v2 | nvidia-parakeetvtdt-0-6b-v2 | Audio2Text 產生 | 否 | 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 產生 | 否 | 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.4xlarge、ml.g6e.16g. | | Orb | orbital-materials-orb | 科學建模 | 否 | 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 私有部署 | preferred-networks-plamo-api | 產生文字 | 否 | ml.p4d.24xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | ProteinMPNN-NIM | nvidia-nim-proteinmpnn-v1-0-2 | 產生文字 | 否 | 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 | 否 | ml.g5.xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.g5.16xlarge | | Solar Mini - 量化 | upstage-solar-mini-chat-quant | 產生文字 | 否 | ml.g5.2xlarge | | Solar Pro - 量化 | upstage-solar-pro-quantized | 產生文字 | 否 | ml.g5.12xlarge | | Solar Pro 2 | upstage-solar-pro | 產生文字 | 否 | ml.p4d.24xlarge、ml.p5.48xlarge | | Sonic 3 SageMaker | cartesia-sonic-3-sagemaker | 文字轉音訊 | 否 | ml.g6e.xlarge | | Stable Diffusion 3.5 Large | stabilityai-stable-diffusion-3-5-large | 文字到影像 | 否 | ml.p5.48xlarge | | Stable Diffusion XL 1.0 | stabilityai-sdxl-1-0 | 文字到影像 | 否 | ml.g5.2xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | 穩定擴散 XL Beta 0.8 | stabilityai-sdxl-beta-0-8 | 文字到影像 | 否 | ml.g5.xlarge | | Stockmark-LLM-13b | stockmark-llm-13b | 產生文字 | 否 | ml.g5.2xlarge | | VARCO LLM KO-1.3B-IST | ncsoft-ko-1-3b-ist | 產生文字 | 否 | ml.g5.2xlarge、ml.g5.4xlarge、ml.g4dn.2xlarge | | VARCO LLM KO-6.4B-IST | ncsoft-ko-6-4b-ist | 產生文字 | 否 | 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 | 產生文字 | 否 | ml.g5.12xlarge、ml.g4dn.12xlarge | | voyage-2 內嵌模型 | voyage-2-embedding | 文字嵌入 | 否 | ml.g5.xlarge、ml.g5.2xlarge、ml.g5.4xlarge、ml.g5.8xlarge、ml.g5.16xlarge | | voyage-3 內嵌模型 | voyage-3-embedding | 文字嵌入 | 否 | 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 大型內嵌模型 | voyage-3-large-embedding | 文字嵌入 | 否 | 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 內嵌模型 | voyage-3-5-embedding | 文字嵌入 | 否 | 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 內嵌模型 | voyage-3-5-lite-embedding | 文字嵌入 | 否 | 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 內嵌模型 | voyage-code-2-embedding | 文字嵌入 | 否 | 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 內嵌模型 | voyage-code-3-embedding | 文字嵌入 | 否 | 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 內嵌模型 | voyage-large-2-embedding | 文字嵌入 | 否 | 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 | 翻譯 | 否 | ml.g5.xlarge | | Widn Tower Sugarloaf | widn-tower-sugarloaf | 翻譯 | 否 | ml.g5.12xlarge | | Widn Tower Vesuvius | widn-llama3-tower-vesuvius | 翻譯 | 否 | ml.g5.48xlarge、ml.p4d.24xlarge、ml.p4de.24xlarge | | Woven City AI Vision 引擎 | wovenbytoyota-woven-city-ai-vision-engine | 多模式產生 | 否 | ml.g5.8xlarge、ml.g5.12xlarge、ml.g5.24xlarge、ml.g5.48xlarge | | Writer Palmyra-Fin-70B-32K | writer-palmyra-fin-70b-32k | 產生文字 | 否 | ml.p4d.24xlarge | | Writer Palmyra-Med-70B-32K | writer-palmyra-med-70b-32k | 產生文字 | 否 | ml.p4d.24xlarge | | 寫入器 Palmyra-X-004 | writer-palmyra-x-004 | 產生文字 | 否 | ml.p5.48xlarge | ------ #### [ Built-in Algorithms (135) ] Amazon SageMaker JumpStart 為常見的電腦視覺任務提供預先訓練的任務特定模型，例如影像分類、物件偵測和影像分割。這些模型是以已建立的深度學習架構 (PyTorch、TensorFlow、MXNet) 為基礎，並準備好部署或微調您自己的資料。 | 供應商 | 模型名稱 | 模型 ID | 任務 | 授權 | 可微調 | 支援的推論執行個體類型 | | --- | --- | --- | --- | --- | --- | --- | | Mxnet | 更快的 RCNN ResNet 101 V1d | mxnet-od-faster-rcnn-resnet101-v1d-coco | Object Detection | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 更快的 RCNN ResNet 101 V1d | mxnet-od-faster-rcnn-fpn-resnet101-v1d-coco | Object Detection | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 更快的 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-resnet50-v1b-voc | Object Detection | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 更快的 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-resnet50-v1b-coco | Object Detection | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 更快的 RCNN ResNet 50 V1b | mxnet-od-faster-rcnn-fpn-resnet50-v1b-coco | Object Detection | apache-2.0 | 否 | 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 | 影像分割 | apache-2.0 | 是 | 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 | 影像分割 | apache-2.0 | 是 | 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 | 影像分割 | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 實例分割 | mxnet-is-mask-rcnn-fpn-resnet101-v1d-coco | 影像分割 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 遮罩 RCNN FPN RESNET18 COCO | mxnet-is-mask-rcnn-fpn-resnet18-v1b-coco | 影像分割 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | 遮罩 RCNN FPN RESNET50 COCO | mxnet-is-mask-rcnn-fpn-resnet50-v1b-coco | 影像分割 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | MASK RCNN RESNET18 COCO | mxnet-is-mask-rcnn-resnet18-v1b-coco | 影像分割 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | Object Detection | mxnet-od-ssd-512-mobilenet1-0-coco | Object Detection | apache-2.0 | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Mxnet | Semantic Segmentation | mxnet-semseg-fcn-resnet101-coco | 影像分割 | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 否 | 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 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | AlexNet | pytorch-ic-alexnet | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | DenseNet 121 | pytorch-ic-densenet121 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | DenseNet 169 | pytorch-ic-densenet169 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | FRCNN MobileNet V3 大型 320 FPN | pytorch-od1-fasterrcnn-mobilenet-v3-large-320-fpn | Object Detection | bsd-3-clause | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Pytorch | FRCNN MobileNet V3 大型 FPN | pytorch-od1-fasterrcnn-mobilenet-v3-large-fpn | Object Detection | bsd-3-clause | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Pytorch | GoogLeNet | pytorch-ic-googlenet | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | 影像分類 | pytorch-ic-mobilenet-v2 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | Object Detection | pytorch-od1-fasterrcnn-resnet50-fpn | Object Detection | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Pytorch | ResNet 101 | pytorch-ic-resnet101 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | ResNet 152 | pytorch-ic-resnet152 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | ResNet 18 | pytorch-ic-resnet18 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | ResNet 34 | pytorch-ic-resnet34 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | ResNet 50 | pytorch-ic-resnet50 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | Resnext 50 | pytorch-ic-resnext50-32x4d | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | ShuffleNet V2 | pytorch-ic-shufflenet-v2-x1-0 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | SSD | pytorch-od-nvidia-ssd | Object Detection | bsd-3-clause | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Pytorch | VGG 11 | pytorch-ic-vgg11 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG 11-BN | pytorch-ic-vgg11-bn | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG 13-BN | pytorch-ic-vgg13-bn | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG 16 | pytorch-ic-vgg16 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG 16-BN | pytorch-ic-vgg16-bn | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG 19 | pytorch-ic-vgg19 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | VGG-13 | pytorch-ic-vgg13 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Pytorch | Wide ResNet 101 | pytorch-ic-wide-resnet101-2 | 影像分類 | bsd-3-clause | 是 | ml.c5.2xlarge、ml.c5.xlarge、ml.m4.xlarge、ml.m5.large、ml.m5.xlarge | | Tensorflow | ALBERT Base | tensorflow-tc-albert-en-base | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | BERT Base Cased | tensorflow-tc-bert-en-cased-L-12-H-768-A-12-2 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | BERT Base MEDLINE/PubMed | tensorflow-tc-experts-bert-pubmed-1 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | BERT Base Multilingual Cased | tensorflow-tc-bert-multi-cased-L-12-H-768-A-12-2 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | BERT Large Uncased | tensorflow-tc-bert-en-uncased-L-24-H-1024-A-16-2 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | BERT 小型未封裝 L-10 H-128 | tensorflow-tcembedding-bert-en-uncased-L-10-H-128-A-2-2 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | BERT 小型未封裝 L-12 H-256 | tensorflow-tcembedding-bert-en-uncased-L-12-H-256-A-4 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | BERT 小型未封裝 L-12 H-768 | tensorflow-tcembedding-bert-en-uncased-L-12-H-768-A-12-2 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | BERT 小型未封裝 L-4 H-768 | tensorflow-tcembedding-bert-en-uncased-L-4-H-768-A-12-2 | 文字嵌入 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 特徵向量 | tensorflow-icembedding-bit-m-r101x1-ilsvrc2012-featurevector-1 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | MIT | 是 | 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 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | CenterNet ResNet-v1-50 | tensorflow-od-centernet-resnet50v1-fpn-512x512-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | DeiT Tiny Distilled 修補程式 16 224 | tensorflow-ic-deit-tiny-distilled-patch16-224 | 影像分類 | MIT | 是 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | Apache-2.0 | 是 | 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 特徵向量 | tensorflow-icembedding-efficientnet-b1-featurevector-1 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | Apache-2.0 | 是 | ml.c5.9xlarge、ml.g4dn.8xlarge、ml.p3.8xlarge | | Tensorflow | EfficientNet V2 ImageNet-1k 小型 | tensorflow-ic-efficientnet-v2-imagenet1k-s | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 更快的 R-CNN Resnet V2 1024x1024 | tensorflow-od-faster-rcnn-inception-resnet-v2-1024x1024-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | 更快的 R-CNN Resnet-101 V1 640x640 | tensorflow-od-faster-rcnn-resnet101-v1-640x640-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | 更快的 R-CNN Resnet-50 V1 1024x1024 | tensorflow-od-faster-rcnn-resnet50-v1-1024x1024-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | 更快的 R-CNN Resnet-50 V1 640x640 | tensorflow-od-faster-rcnn-resnet50-v1-640x640-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | 更快的 R-CNN Resnet-50 V1 800x1333 | tensorflow-od-faster-rcnn-resnet50-v1-800x1333-1 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | FRILL | tensorflow-audioembedding-frill-1 | 音訊分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | 影像分類 | tensorflow-ic-swin-base-patch4-window7-224 | 影像分類 | MIT | 是 | 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 | 圖像嵌入 | tensorflow-icembedding-imagenet-mobilenet-v2-100-224-fv-4 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 預覽功能向量 | tensorflow-icembedding-tf2-preview-inception-v3-fv-4 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 | 影像分類 | Apache-2.0 | 是 | 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 功能向量 | tensorflow-icembedding-tf2-preview-mobilenet-v2-fv-4 | 影像分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | MobileNet V2 功能向量 | tensorflow-icembedding-tf2-preview-mobilenet-v2-featurevector-4 | 影像分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | MobileNet V3 大型 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-large-100-224 | 影像分類 | Apache-2.0 | 是 | 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 小型 0.75 224 | tensorflow-ic-imagenet-mobilenet-v3-small-075-224 | 影像分類 | Apache-2.0 | 是 | 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 小型 1.00 224 | tensorflow-ic-imagenet-mobilenet-v3-small-100-224 | 影像分類 | Apache-2.0 | 是 | 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 | Object Detection | tensorflow-od1-ssd-resnet50-v1-fpn-640x640-coco17-tpu-8 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | ResNet 50 | tensorflow-ic-resnet-50-classification-1 | 影像分類 | Apache-2.0 | 是 | ml.c5.9xlarge、ml.g4dn.8xlarge、ml.p3.8xlarge | | Tensorflow | ResNet 50 功能向量 | tensorflow-icembedding-resnet-50-featurevector-1 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 功能向量 | tensorflow-icembedding-imagenet-resnet-v2-152-featurevector-4 | 影像分類 | apache-2.0 | 否 | 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 | 影像分類 | Apache-2.0 | 是 | 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 功能向量 | tensorflow-icembedding-imagenet-resnet-v2-50-featurevector-4 | 影像分類 | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | 小型 BERT L-10\_H-512\_A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-10-H-512-A-8 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-12\_H-256\_A-4 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-256-A-4 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-12\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-12-H-768-A-12 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-2\_H-128\_A-2 | tensorflow-tc-small-bert-bert-en-uncased-L-2-H-128-A-2 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-4\_H-512\_A-8 | tensorflow-tc-small-bert-bert-en-uncased-L-4-H-512-A-8 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-6\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-6-H-768-A-12 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 小型 BERT L-8\_H-768\_A-12 | tensorflow-tc-small-bert-bert-en-uncased-L-8-H-768-A-12 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | SSD ResNet 152 V1 FPN 1024x1024 COCO '17 | tensorflow-od1-ssd-resnet152-v1-fpn-1024x1024-coco17-tpu-8 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D0 | tensorflow-od-efficientdet-d0-1 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D2 | tensorflow-od-efficientdet-d2-1 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D3 | tensorflow-od-efficientdet-d3-1 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | SSD EfficientDet D5 | tensorflow-od-efficientdet-d5-1 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 否 | ml.g4dn.xlarge、ml.g5.xlarge、ml.p3.2xlarge | | Tensorflow | SSD Mobilenet V2 640x640 | tensorflow-od-ssd-mobilenet-v2-fpnlite-640x640-1 | Object Detection | apache-2.0 | 否 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | 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 | Object Detection | apache-2.0 | 是 | ml.g4dn.xlarge、ml.g5.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | Swin 基礎 4 12 384 | tensorflow-ic-swin-base-patch4-window12-384 | 影像分類 | MIT | 是 | 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 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 文字分類 | tensorflow-tc-bert-en-uncased-L-12-H-768-A-12-2 | 文字分類 | apache-2.0 | 是 | 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.p3.16xlarge、ml.p3.2xlarge、ml.p3.8 | | Tensorflow | 文字嵌入 | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-large-1 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | TRILL 已轉移 | tensorflow-audioembedding-trill-distilled-3 | 音訊分類 | apache-2.0 | 否 | 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 | 音訊分類 | apache-2.0 | 否 | 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 | 音訊分類 | apache-2.0 | 否 | 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 | 音訊分類 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | | Tensorflow | Universal Sentence 編碼器 CMLM 基礎 | tensorflow-tcembedding-universal-sentc-encoder-cmlm-en-base-1 | 文字嵌入 | apache-2.0 | 否 | ml.c5.2xlarge、ml.c5.xlarge、ml.g4dn.xlarge、ml.m5.large、ml.m5.xlarge、ml.p3.2xlarge | ------ #### [ Classic ML Algorithms (11) ] Amazon SageMaker JumpStart 為分類、迴歸和時間序列預測等表格式資料任務提供ready-to-use傳統機器學習演算法實作。這些演算法 (XGBoost、LightGBM、CatBoostscikit-learn、、AutoGluon) 已針對結構化資料進行最佳化，並且可以在您自己的資料集上從頭開始訓練。 | 供應商 | 模型名稱 | 模型 ID | 任務 | 授權 | 可微調 | 支援的推論執行個體類型 | | --- | --- | --- | --- | --- | --- | --- | | Autogluon | AutoGluon 表格分類 | autogluon-classification-ensemble | 表格分類 | apache-2.0 | 是 | 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 表格式迴歸 | autogluon-regression-ensemble | 表格迴歸 | apache-2.0 | 是 | 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 分類 | catboost-classification-model | 表格分類 | apache-2.0 | 是 | 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 迴歸 | catboost-regression-model | 表格迴歸 | apache-2.0 | 是 | 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 分類 | lightgbm-classification-model | 表格分類 | mit | 是 | 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 迴歸 | lightgbm-regression-model | 表格迴歸 | mit | 是 | 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 分類 | pytorch-tabtransformerclassification-model | 表格分類 | apache-2.0 | 是 | 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 迴歸 | pytorch-tabtransformerregression-model | 表格迴歸 | apache-2.0 | 是 | 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 | 線性分類 | sklearn-classification-linear | 表格分類 | bsd-3-clause | 是 | 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 分類 | xgboost-classification-model | 表格分類 | apache-2.0 | 是 | 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 迴歸 | xgboost-regression-model | 表格迴歸 | apache-2.0 | 是 | 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 | ------ **注意** 如需最準確且up-to-date授權資訊，請參閱 SageMaker Studio 中的模型詳細資訊頁面或模型的Hugging Face頁面。