95 lines
2.3 KiB
Markdown
95 lines
2.3 KiB
Markdown
## 模型权重准备
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Metal后端需要特定格式的权重文件。你有两个选择:
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### 转换现有权重:
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```bash
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python gpt_oss/metal/scripts/create-local-model.py -s <model_dir> -d <output_file>
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```
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### 下载预转换权重:
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```bash
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huggingface-cli download openai/gpt-oss-120b --include "metal/*" --local-dir gpt-oss-120b/metal/
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huggingface-cli download openai/gpt-oss-20b --include "metal/*" --local-dir gpt-oss-20b/metal/
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```
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这里的"Metal版本"指的是GPT-OSS模型的Metal后端实现。
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## 环境准备
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macOS系统(Apple Silicon)
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1. 准备环境
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```bash
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xcode-select --install
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micromamba create -n gptoss python=3.12 -y
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```
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2. 手动运行CMake构建
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```bash
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git clone https://github.com/hotwa/openharmony-mlx.git
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cd openharmony-mlx
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# 自动安装cmake安装
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GPTOSS_BUILD_METAL=1 pip install -e ".[metal]"
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# 手动编译cmake安装
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cd gpt_oss/metal
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mkdir build
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cd build
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cmake .. -DCMAKE_BUILD_TYPE=Release -DGPTOSS_BUILD_PYTHON=ON
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make -j$(nproc)
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```
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3. Metal着色器编译
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CMake会自动编译Metal源文件: CMakeLists.txt:16-28
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这些.metal文件会被编译成.air中间文件,然后链接成default.metallib:
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4. Python扩展模块构建
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CMake会创建名为_metal的Python扩展模块:
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```bash
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# 安装扩展模块
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cp _metal.so /path/to/your/python/site-packages/gpt_oss/metal/
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# 安装Metal库文件
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cp default.metallib /path/to/your/python/site-packages/gpt_oss/metal/
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```
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5. 验证metal模块是否正确安装
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```python
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python -c "import gpt_oss.metal._metal; print('Metal module loaded successfully')"
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```
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## 启动服务
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缓存下载并启动服务
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```bash
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mkdir -p ~/.cache/openai_harmony/
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cd ~/.cache/openai_harmony/
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wget https://openaipublic.blob.core.windows.net/encodings/o200k_base.tiktoken
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export OPENAI_HARMONY_CACHE_DIR=~/.cache/openai_harmony/
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chmod 755 ~/.cache/openai_harmony/
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python -m gpt_oss.responses_api.serve --inference-backend metal --checkpoint /Volumes/long990max/gpustack_data/openai/gpt-oss-20b/metal/model.bin --host 0.0.0.0 --port 8080
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```
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## cherrystudio 配置
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添加提供商选择`OpenAI-Response`
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添加参数如下
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模型ID:gpt-oss-120b
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模型名称:gpt-oss-120b
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分组名称:gpt-oss
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API 地址:http://localhost:8080
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密钥:无
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请求虽然是gpt-oss-120b,但是实际使用的是gpt-oss-20b。由于后台写死的是120b,所以请求使用gpt-oss-120b |