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README.md

+# T-lite-it
+## 论文
+[T-lite-it](https://arxiv.org/pdf/2512.10430)
+
+## 模型简介
+T-lite-it-2.1是一款基于Qwen 3架构的高效俄语模型，其在遵循指令和执行工具调用能力方面实现显著提升——这是相较于不支持工具调用的T-lite-it-1.0版本的关键进步。在工具调用场景中，该模型表现优于Qwen3-8B，这一特性对智能体应用至关重要。该模型面向通用任务与复杂工作流设计，并通过优化的分词器实现了更高的俄语文本生成效率。
+## 环境依赖
+
+| 软件 | 版本 |
+| :------: | :------: |
+| DTK | 25.04.2 |
+| python | 3.10.12 |
+| transformers | >=4.57.1 |
+| vllm |  0.9.2+das.opt1.dtk25042 |
+| torch | 2.5.1+das.opt1.dtk25042 |
+| triton | 3.1+das.opt1.3c5d12d.dtk25041 |
+| flash_attn | 2.6.1+das.opt1.dtk2504 |
+| flash_mla | 1.0.0+das.opt1.dtk25042 |
+
+推荐使用镜像:image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-py3.10
+- 挂载地址`-v`根据实际模型情况修改
+
+```bash
+docker run -it --shm-size 60g --network=host --name T-lite-it --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_path/:/path/your_code_path/  image.sourcefind.cn:5000/dcu/admin/base/vllm:0.9.2-ubuntu22.04-dtk25.04.2-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。
+
+## 数据集
+暂无
+
+## 训练
+暂无
+
+## 推理
+
+### vllm
+#### 单机推理
+
+```bash
+## serve启动
+可参考vllm_serve.sh脚本
+vllm serve  t-tech/T-lite-it-2.1   --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1 --max-model-len 32768  --port 8010
+## client访问
+可参考vllm_cilent.sh
+curl -X POST "http://localhost:8010/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "t-tech/T-lite-it-2.1",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'
+
+```
+
+## 效果展示
+<div align=center>
+    <img src="./doc/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|
+|:-----:|:----------:|:----------:|:---------------------:|:----------:|
+| T-lite-it-2.1 | 8B | K100AI | 1 | [下载地址](https://huggingface.co/t-tech/T-lite-it-2.1) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/t-lite-it_vllm
+
+## 参考资料
+- https://habr.com/ru/companies/tbank/articles/979650/

model.properties

+# 模型唯一标识
+modelCode=1922
+# 模型名称
+modelName=T-lite-it_vllm
+# 模型描述
+modelDescription=T-lite-it-2.1是一款基于Qwen3架构的高效俄语模型，其在遵循指令和执行工具调用能力方面实现显著提升——这是相较于不支持工具调用的T-lite-it-1.0版本的关键进步。
+# 应用场景
+processType=推理
+# 算法类别
+appScenario=文本生成
+# 框架类型
+frameType=vllm
+# 加速卡类型
+accelerateType=K100AI

vllm_cilent.sh

+curl -X POST "http://localhost:8010/v1/chat/completions"      -H "Content-Type: application/json"     --data '{
+                "model": "t-tech/T-lite-it-2.1",
+                "messages": [
+                        {
+                                "role": "user",
+                                "content": "请介绍下自己"
+                        }
+                ]
+        }'

vllm_serve.sh

+vllm serve  t-tech/T-lite-it-2.1   --trust-remote-code --dtype bfloat16 --max-seq-len-to-capture 32768 -tp 1 --max-model-len 32768  --port 8010
\ No newline at end of file