From 6ae0f088acbff00139b0f24ad08008d08dd53f02 Mon Sep 17 00:00:00 2001 From: zR <2448370773@qq.com> Date: Wed, 26 Jun 2024 15:34:32 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=E5=8F=8B=E6=83=85=E9=93=BE?= =?UTF-8?q?=E6=8E=A5?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- README.md | 12 +++--------- README_en.md | 12 +++--------- 2 files changed, 6 insertions(+), 18 deletions(-) diff --git a/README.md b/README.md index c3d4c2c..29e831d 100644 --- a/README.md +++ b/README.md @@ -35,13 +35,6 @@ GLM-4V-9B。**GLM-4V-9B** 具备 1120 * 1120 高分辨率下的中英双语多 | GLM-4-9B-Chat-1M | Chat | 1M | [🤗 Huggingface](https://huggingface.co/THUDM/glm-4-9b-chat-1m) [🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/glm-4-9b-chat-1m) [🟣 WiseModel](https://wisemodel.cn/models/ZhipuAI/GLM-4-9B-Chat-1M) | / | | GLM-4V-9B | Chat | 8K | [🤗 Huggingface](https://huggingface.co/THUDM/glm-4v-9b) [🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/glm-4v-9b) [🟣 WiseModel](https://wisemodel.cn/models/ZhipuAI/GLM-4V-9B ) | [🤖 ModelScope](https://modelscope.cn/studios/ZhipuAI/glm-4v-9b-Demo/summary) | -## 友情链接 - -以下优秀开源仓库已经对 GLM-4-9B 模型深度支持，欢迎大家扩展学习。 - -推理加速： - -* [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): 类似 llama.cpp 的量化加速推理方案，实现笔记本上实时对话 ## 评测结果 @@ -247,10 +240,11 @@ with torch.no_grad(): ## 友情链接 + [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory): 高效开源微调框架，已支持 GLM-4-9B-Chat 语言模型微调。 -+ [SWIFT](https://github.com/modelscope/swift): 魔搭社区的大模型/多模态大模型训练框架，已支持 GLM4-9B-Chat/GLM4v-9B-Chat - 模型微调。 ++ [SWIFT](https://github.com/modelscope/swift): 魔搭社区的大模型/多模态大模型训练框架，已支持 GLM-4-9B-Chat / GLM-4V-9B 模型微调。 + [Xorbits Inference](https://github.com/xorbitsai/inference): 性能强大且功能全面的分布式推理框架，轻松一键部署你自己的模型或内置的前沿开源模型。 ++ [LangChain-ChatChat](https://github.com/chatchat-space/Langchain-Chatchat): 基于 Langchain 与 ChatGLM 等语言模型的 RAG 与 Agent 应用 + [self-llm](https://github.com/datawhalechina/self-llm/tree/master/GLM-4): Datawhale 团队的提供的 GLM-4-9B 系列模型使用教程。 ++ [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): 类似 llama.cpp 的量化加速推理方案，实现笔记本上实时对话 ## 协议 diff --git a/README_en.md b/README_en.md index 1201e85..ba6efa1 100644 --- a/README_en.md +++ b/README_en.md @@ -39,14 +39,6 @@ GPT-4-turbo-2024-04-09, Gemini 1.0 Pro, Qwen-VL-Max, and Claude 3 Opus. | GLM-4-9B-Chat-1M | Chat | 1M | [🤗 Huggingface](https://huggingface.co/THUDM/glm-4-9b-chat-1m) [🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/glm-4-9b-chat-1m) [🟣 WiseModel](https://wisemodel.cn/models/ZhipuAI/GLM-4-9B-Chat-1M) | / | | GLM-4V-9B | Chat | 8K | [🤗 Huggingface](https://huggingface.co/THUDM/glm-4v-9b) [🤖 ModelScope](https://modelscope.cn/models/ZhipuAI/glm-4v-9b) [🟣 WiseModel](https://wisemodel.cn/models/ZhipuAI/GLM-4V-9B) | [🤖 ModelScope](https://modelscope.cn/studios/ZhipuAI/glm-4v-9b-Demo/summary) | -## Projects - -The following excellent open source repositories have in-depth support for the GLM-4-9B model, and everyone is welcome to expand their learning. - -Inference acceleration: - -* [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): Real-time inference on your laptop accelerated by quantization, similar to llama.cpp. - ## BenchMark ### Typical Tasks @@ -259,11 +251,13 @@ with basic GLM-4-9B usage and development code through the following content + [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory): Efficient open-source fine-tuning framework, already supports GLM-4-9B-Chat language model fine-tuning. + [SWIFT](https://github.com/modelscope/swift): LLM/VLM training framework from ModelScope, supports - GLM4-9B-Chat/GLM4v-9b-chat fine-tuning. + GLM-4-9B-Chat / GLM-4V-9b fine-tuning. + [Xorbits Inference](https://github.com/xorbitsai/inference): Performance-enhanced and comprehensive global inference framework, easily deploy your own models or import cutting-edge open source models with one click. ++ [LangChain-ChatChat](https://github.com/chatchat-space/Langchain-Chatchat): RAG and Agent applications based on language models such as Langchain and ChatGLM + [self-llm](https://github.com/datawhalechina/self-llm/tree/master/GLM-4): Datawhale's self-llm project, which includes the GLM-4-9B open source model cookbook. ++ [chatglm.cpp](https://github.com/li-plus/chatglm.cpp): Real-time inference on your laptop accelerated by quantization, similar to llama.cpp. ## License