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--- |
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language: |
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- zh |
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- en |
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tags: |
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- glm |
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- chatglm |
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- ggml |
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--- |
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# ChatGLM3-6B-fp16 |
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介绍 (Introduction) |
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ChatGLM3-6B 是 ChatGLM 系列最新一代的开源模型，[THUDM/chatglm3-6b](https://github.com/THUDM/ChatGLM3) |
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用 [ChatGLM.CPP]() 基於 GGML quantize 生成 fp16 權重 weights 儲存於此倉庫。 |
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## Performance |
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|Model |GGML quantize method| HDD size |1 token\*| |
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|----------------------|--------------------|----------|---------| |
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|chatglm3-ggml-f16.bin | f16 | 3.51 GB | 189ms | |
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\* ms/token (CPU @ Platinum 8260) from [reference](https://github.com/li-plus/chatglm.cpp#performance) |
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## Getting Started |
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1. Install dependency |
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```sh |
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pip install chatglm-cpp transformers |
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``` |
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2. Download weight |
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```sh |
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wget https://huggingface.co/npc0/chatglm3-6b-fp16/resolve/main/chatglm3-ggml-f16.bin |
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``` |
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3. Code |
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```py |
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import chatglm_cpp |
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pipeline = chatglm_cpp.Pipeline("./chatglm3-ggml-f16.bin") |
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pipeline.chat([chatglm_cpp.ChatMessage(role="user", content="你好")]) |
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# Output: ChatMessage(role="assistant", content="你好👋！我是人工智能助手 ChatGLM-6B，很高兴见到你，欢迎问我任何问题。", tool_calls=[]) |
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``` |
