update

eff78358 · dengjb · eff78358 · eff78358 · eff78358 · eff78358
Commit eff78358 authored Apr 21, 2026 by dengjb
6 changed files
--- a/LICENSE
+++ b/LICENSE
+Modified MIT License
+
+Copyright (c) 2026 Moonshot AI
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the “Software”), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
+
+Our only modification part is that, if the Software (or any derivative works
+thereof) is used for any of your commercial products or services that have
+more than 100 million monthly active users, or more than 20 million US dollars
+(or equivalent in other currencies) in monthly revenue, you shall prominently
+display "Kimi K2.5" on the user interface of such product or service.
--- a/README.md
+++ b/README.md
+# Kimi-K2.6
+## 论文
+[Kimi-K2.6](https://www.kimi.com/blog/kimi-k2-6)
+
+## 模型简介
+Kimi K2.6 是一个开源的原生多模态智能体模型，在长周期编程、以编程驱动的设计、主动自主执行以及基于智能体集群的任务编排等实际能力方面取得了显著进展。
+
+**主要特点**：
+- 长周期编程：K2.6 在复杂的端到端编程任务上实现了显著提升，能够稳健地泛化至多种编程语言（Rust、Go、Python）以及前端、DevOps 和性能优化等多个领域。
+- 编程驱动设计：K2.6 能够将简单的文本提示和视觉输入转化为可直接投入生产的界面和轻量级全栈工作流，精准生成结构化布局、交互元素和丰富的动画效果。
+- 增强型智能体集群：支持横向扩展至 300 个子智能体并行执行 4,000 个协调步骤，K2.6 能动态地将任务分解为多个并行、领域专用的子任务，在单次自主运行中即可完成从文档、网站到电子表格的端到端输出。
+- 主动式开放编排：在自主任务方面，K2.6 展现出强大能力，可驱动持久运行的 24/7 后台智能体，无需人工干预即可主动管理日程、执行代码，并协调跨平台操作。
+
+<div align=center>
+    <img src="./doc/kimi-bar-chart.png"/>
+</div>
+
+## 环境依赖
+| 软件 |                    版本                     |
+| :------: |:-----------------------------------------:|
+| DTK |                   26.04                   |
+| python |                  3.10.12                  |
+| Transformers |                4.57.6                 |
+| vLLM |       0.15.1+das.opt1.alpha.dtk2604.20260220.g2799735a       |
+| triton | 3.3.0+das.opt2.dtk2604.torch291.20260210.g1329924c |
+| torch | 2.9.0+das.opt1.dtk2604.20260206.g275d08c2 |
+
+当前仅支持以下镜像: harbor.sourcefind.cn:5443/dcu/admin/base/custom:vllm0.15.1-ubuntu22.04-dtk26.04-0130-py3.10-20260220
+
+- 挂载地址`-v` 根据实际模型情况修改
+```bash
+docker run -it \
+    --shm-size 200g \
+    --network=host \
+    --name Kimi-K2.6 \
+    --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/custom:vllm0.15.1-ubuntu22.04-dtk26.04-0130-py3.10-20260220 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，pycountry库需要单独安装：
+```
+pip install pycountry
+```
+
+## 数据集
+暂无
+
+## 训练
+暂无
+
+## 推理
+### vllm
+#### 多机推理
+1. 加入环境变量
+> 请注意：
+> 每个节点上的环境变量都写到.sh文件中，保存后各个计算节点分别source`.sh`文件
+>
+> VLLM_HOST_IP：节点本地通信口ip，尽量选择IB网卡的IP，**避免出现rccl超时问题**
+>
+> NCCL_SOCKET_IFNAME和 GLOO_SOCKET_IFNAME：节点本地通信网口ip对应的名称
+>
+> 通信口和ip查询方法：ifconfig
+>
+> IB口状态查询：ibstat  !!!一定要active激活状态才可用，各个节点要保持统一
+
+```bash
+export ALLREDUCE_STREAM_WITH_COMPUTE=1
+export VLLM_HOST_IP=x.x.x.x # 对应计算节点的IP，选择IB口SOCKET_IFNAME对应IP地址
+export NCCL_SOCKET_IFNAME=ibxxxx
+export GLOO_SOCKET_IFNAME=ibxxxx
+export NCCL_IB_HCA=mlx5_0:1 # 环境中的IB网卡名字
+unset NCCL_ALGO
+export NCCL_MIN_NCHANNELS=16
+export NCCL_MAX_NCHANNELS=16
+export NCCL_NET_GDR_READ=1
+export HIP_VISIBLE_DEVICES=0,1,2,3,4,5,6,7
+export VLLM_SPEC_DECODE_EAGER=1
+export VLLM_MLA_DISABLE=0
+export VLLM_USE_FLASH_MLA=1
+export VLLM_RPC_TIMEOUT=1800000
+
+# 海光CPU绑定核
+export VLLM_NUMA_BIND=1
+export VLLM_RANK0_NUMA=0
+export VLLM_RANK1_NUMA=1
+export VLLM_RANK2_NUMA=2
+export VLLM_RANK3_NUMA=3
+export VLLM_RANK4_NUMA=4
+export VLLM_RANK5_NUMA=5
+export VLLM_RANK6_NUMA=6
+export VLLM_RANK7_NUMA=7
+```
+
+2. 启动RAY集群
+> x.x.x.x 对应第一步 VLLM_HOST_IP
+
+```bash
+# head节点执行
+ray start --head --node-ip-address=x.x.x.x --port=6379 --num-gpus=8 --num-cpus=32
+# worker节点执行
+ray start --address='x.x.x.x:6379' --num-gpus=8 --num-cpus=32
+```
+
+3. 启动vllm server
+
+```bash
+## serve启动
+
+vllm serve moonshotai/Kimi-K2.6 \
+    -tp 16 \
+    --distributed-executor-backend ray \
+    --gpu-memory-utilization 0.95 \
+    --mm-encoder-tp-mode data \
+    --trust-remote-code \
+    --tool-call-parser kimi_k2 \
+    --reasoning-parser kimi_k2
+
+## client访问
+curl http://localhost:8000/v1/chat/completions   \
+    -H "Content-Type: application/json"  \
+    -d '{
+        "model": "moonshotai/Kimi-K2.6",
+        "messages": [
+          {"role": "user", "content": "which one is bigger, 9.11 or 9.9? think carefully"}
+        ],
+        "temperature": 0.6
+    }'
+```
+
+## 效果展示
+<div align=center>
+    <img src="./doc/result-dcu.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          |
+|:------:|:----:|:----------:|:------:|:---------------------:|
+| Kimi-K2.5 | 1.1T | BW1000 |   16   | [Hugging Face](https://huggingface.co/moonshotai/Kimi-K2.6) |
+
+## 源码仓库及问题反馈
+- https://developer.sourcefind.cn/codes/modelzoo/kimi-k2.6
+
+## 参考资料
+- https://www.modelscope.cn/models/moonshotai/Kimi-K2.6/summary
\ No newline at end of file
--- a/doc/kimi-bar-chart.png
+++ b/doc/kimi-bar-chart.png
--- a/doc/result-dcu.png
+++ b/doc/result-dcu.png
--- a/icon.png
+++ b/icon.png
--- a/model.properties
+++ b/model.properties
+# 模型唯一标识
+modelCode=2388
+# 模型名称
+modelName=Kimi-K2.6
+# 模型描述
+modelDescription=Kimi K2.6 是一个开源的原生多模态智能体模型，在长周期编程、以编程驱动的设计、主动自主执行以及基于智能体集群的任务编排等实际能力方面取得了显著进展。
+# 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
\ No newline at end of file