diff --git a/README.md b/README.md index d48ed21..95bfece 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@ OpenAI-compatible RESTful APIs for Amazon Bedrock ## Overview -Amazon Bedrock offers a wide range of foundation models (such as Claude 3 Opus/Sonnet/Haiku, Llama 2, Mistral/Mixtral, +Amazon Bedrock offers a wide range of foundation models (such as Claude 3 Opus/Sonnet/Haiku, Llama 2/3, Mistral/Mixtral, etc.) and a broad set of capabilities for you to build generative AI applications. Check the [Amazon Bedrock](https://aws.amazon.com/bedrock) landing page for additional information. Sometimes, you might have applications developed using OpenAI APIs or SDKs, and you want to experiment with Amazon Bedrock without modifying your codebase. Or you may simply wish to evaluate the capabilities of these foundation models in tools like AutoGen etc. Well, this repository allows you to access Amazon Bedrock models seamlessly through OpenAI APIs and SDKs, enabling you to test these models without code changes. @@ -36,6 +36,8 @@ Supported Amazon Bedrock models (Model IDs): - anthropic.claude-3-haiku-20240307-v1:0 - meta.llama2-13b-chat-v1 - meta.llama2-70b-chat-v1 +- meta.llama3-8b-instruct-v1:0 +- meta.llama3-70b-instruct-v1:0 - mistral.mistral-7b-instruct-v0:2 - mistral.mixtral-8x7b-instruct-v0:1 - mistral.mistral-large-2402-v1:0 diff --git a/README_CN.md b/README_CN.md index 2a6a868..e1ec4cf 100644 --- a/README_CN.md +++ b/README_CN.md @@ -6,7 +6,7 @@ ## 概述 -Amazon Bedrock提供了广泛的基础模型(如Claude 3 Opus/Sonnet/Haiku、Llama 2、Mistral/Mixtral等),以及构建生成式AI应用程序的多种功能。更多详细信息,请查看[Amazon +Amazon Bedrock提供了广泛的基础模型(如Claude 3 Opus/Sonnet/Haiku、Llama 2/3、Mistral/Mixtral等),以及构建生成式AI应用程序的多种功能。更多详细信息,请查看[Amazon Bedrock](https://aws.amazon.com/bedrock)。 有时,您可能已经使用OpenAI的API或SDK构建了应用程序,并希望在不修改代码的情况下试用Amazon @@ -38,6 +38,8 @@ OpenAI 的 API 或 SDK 无缝集成并试用 Amazon Bedrock 的模型,而无需 - anthropic.claude-3-haiku-20240307-v1:0 - meta.llama2-13b-chat-v1 - meta.llama2-70b-chat-v1 +- meta.llama3-8b-instruct-v1:0 +- meta.llama3-70b-instruct-v1:0 - mistral.mistral-7b-instruct-v0:2 - mistral.mixtral-8x7b-instruct-v0:1 - mistral.mistral-large-2402-v1:0