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README.md 0 → 100644
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# gpt-oss-20b
## 论文
[GPT-OSS](https://arxiv.org/pdf/2508.10925)
## 模型简介
我们发布了两种版本的开源模型：
- gpt-oss-120b — 适用于生产环境、通用目的、高推理需求，并且可以装入单个 H100 GPU（117B 参数，其中 5.1B 活动参数）
- gpt-oss-20b — 适用于低延迟以及本地或特定用途（21B 参数，其中 3.6B 活动参数）
这两种模型都是在我们的 和谐响应格式 上训练的，并且只能使用该格式，否则将无法正常工作。
**亮点**
- 宽松的 Apache 2.0 许可证： 自由构建，无 copyleft 限制或专利风险—适合实验、定制和商业部署。
- 可配置的推理努力程度： 根据您的具体使用场景和延迟需求轻松调整推理努力程度（低、中、高）。
- 完整的思维链： 完全访问模型的推理过程，便于调试并增加对输出的信任。它不打算展示给最终用户。
- 可微调： 通过参数微调完全自定义模型以适应您的特定使用场景。
- 代理能力： 使用模型的原生功能进行函数调用、网页浏览、Python 代码执行 和结构化输出。
- 原生 MXFP4 量化： 模型在 MoE 层使用原生 MXFP4 精度进行训练，使 gpt-oss-120b 可以在单个 H100 GPU 上运行，而 gpt-oss-20b 模型可以在 16GB 内存内运行。
<div align=center>
<img src="./assets/modle.png"/>
</div>
## 环境依赖
| 软件 | 版本 |
| :------: | :------: |
| DTK | 25.04+ |
| python | 3.10+ |
| torch | 2.5.1+das.opt1.dtk2604 |
| transformers | 4.57.6 |
| vllm | 0.11.0+das.opt1.rc4.dtk2604 |
推荐使用镜像: `harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk26.04-py3.10 `
```bash
docker run -it \
--shm-size 60g \
--network=host \
--name gpt-oss-inference \
--privileged \
--device=/dev/kfd \
--device=/dev/dri \
--device=/dev/mkfd \
--group-add video \
--cap-add=SYS_PTRACE \
--security-opt seccomp=unconfined \
-u root \
-v /opt/hyhal/:/opt/hyhal/:ro \
-v /path/your_code_data/:/path/your_code_data/ \
harbor.sourcefind.cn:5443/dcu/admin/base/vllm:0.11.0-ubuntu22.04-dtk26.04-py3.10 bash
```
更多镜像可前往[光源](https://sourcefind.cn/#/service-list)下载使用。
关于本项目DCU显卡所需的特殊深度学习库可从[光合](https://developer.sourcefind.cn/tool/)开发者社区下载安装，其它包参照requirements.txt安装：
## 数据集
暂无
## 训练
暂无
## 推理
### vllm
#### 单机推理
```bash
bash dirs/run_vllm_server.sh
```
## 效果展示
<div align=center>
<img src="./assets/result.png"/>
</div>
### 精度
`DCU与GPU精度一致，推理框架：vllm。`
## 预训练权重
| 模型名称 | 权重大小 | DCU型号 | 最低卡数需求 |下载地址|
|:-----:|:----------:|:----------:|:---------------------:|:----------:|
| gpt-oss-20b | 20B | BW1000 | 1 | [Modelscope](https://www.modelscope.cn/models/unsloth/gpt-oss-20b-BF16) |
## 源码仓库及问题反馈
- https://developer.sourcefind.cn/codes/modelzoo/gpt-oss_vllm
## 参考资料
- [GPT-OSS GitHub](https://github.com/openai/gpt-oss)
- [vLLM 官方文档](https://docs.vllm.ai/)
dirs/run_vllm_server.sh 0 → 100755
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#!/bin/bash
# ==============================================================================
# vLLM Server 启动脚本（容器内运行）
# 模型: openai-mirror/gpt-oss-120b (120B MoE)
# ==============================================================================
set -e
MODEL_PATH="/home/dengjb/work_space/modelzoo_assistant/model_weights/unsloth/gpt-oss-20b-BF16"
PORT="${1:-8000}"
echo "=========================================="
echo "vLLM Server 启动配置"
echo "=========================================="
echo "模型路径: $MODEL_PATH"
echo "服务端口: $PORT"
echo "=========================================="
export HIP_VISIBLE_DEVICES=0,1,2,3
export MOE_NN=0
vllm serve $MODEL_PATH \
--host 0.0.0.0 \
--port $PORT \
--tensor-parallel-size 4 \
--gpu-memory-utilization 0.90 \
--max-model-len 4096 \
--enforce-eager \
--enable-chunked-prefill \
--max-num-batched-tokens 8192
dirs/test_inference.sh 0 → 100755
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#!/bin/bash
# ==============================================================================
# vLLM 推理测试脚本
# 模型: openai-mirror/gpt-oss-120b (120B MoE)
# 容器: gpt-oss-120b-container
# DCU节点: 10.16.6.52
# ==============================================================================
set -e
API_HOST="${1:-http://10.16.6.52:8000}"
MODEL_NAME="${2:-openai-mirror/gpt-oss-120b}"
echo "=========================================="
echo "vLLM 推理测试"
echo "=========================================="
echo "API 地址: $API_HOST"
echo "模型名称: $MODEL_NAME"
echo "=========================================="
echo ""
echo "1. 检查服务健康状态..."
curl -s "$API_HOST/health" && echo " ✓ 服务健康" || {
echo " ✗ 服务未启动或不可用"
echo "提示: 请先运行 run_vllm_server.sh 启动服务"
exit 1
}
echo ""
echo "2. 获取模型信息..."
curl -s "$API_HOST/v1/models" | python3 -m json.tool | head -20 || echo "获取模型信息失败"
echo ""
echo "3. 执行测试推理 - 简单问题..."
curl -s "$API_HOST/v1/chat/completions" \
-H "Content-Type: application/json" \
-d "{
\"model\": \"$MODEL_NAME\",
\"messages\": [
{
\"role\": \"user\",
\"content\": \"你好，请介绍一下你自己。\"
}
],
\"max_tokens\": 256,
\"temperature\": 0.7,
\"stream\": false
}" | python3 -m json.tool
echo ""
echo "4. 执行测试推理 - 代码生成..."
curl -s "$API_HOST/v1/chat/completions" \
-H "Content-Type: application/json" \
-d "{
\"model\": \"$MODEL_NAME\",
\"messages\": [
{
\"role\": \"user\",
\"content\": \"用Python写一个快速排序算法\"
}
],
\"max_tokens\": 512,
\"temperature\": 0.3,
\"stream\": false
}" | python3 -m json.tool
echo ""
echo "=========================================="
echo "推理测试完成"
echo "=========================================="
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icon.png

64.3 KB

model.properties 0 → 100644
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# 模型唯一标识
modelCode=2295
# 模型名称
modelName=gpt-oss-20b_vllm
# 模型描述
modelDescription=GPT-OSS-20B是OpenAI开源的20B参数语言模型，支持对话生成和推理任务
# 运行过程
processType=推理
# 算法类别
appCategory=对话问答
# 框架类型
frameType=vllm
# 加速卡类型
accelerateType=BW1000
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