Skip to content

GitLab

"git@developer.sourcefind.cn:yangql/googletest.git" did not exist on "4fa8cfe3f4dee8975ee02d98633a5245ab67c6d7"
Commit a0dcaa80 authored by luopl's avatar luopl
Browse files

Initial commit

parents
Hide whitespace changes
Inline Side-by-side
Showing with 397 additions and 0 deletions
LICENSE 0 → 100644
View file @ a0dcaa80
Apache License
Version 2.0, January 2004
http://www.apache.org/licenses/
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
1. Definitions.
"License" shall mean the terms and conditions for use, reproduction,
and distribution as defined by Sections 1 through 9 of this document.
"Licensor" shall mean the copyright owner or entity authorized by
the copyright owner that is granting the License.
"Legal Entity" shall mean the union of the acting entity and all
other entities that control, are controlled by, or are under common
control with that entity. For the purposes of this definition,
"control" means (i) the power, direct or indirect, to cause the
direction or management of such entity, whether by contract or
otherwise, or (ii) ownership of fifty percent (50%) or more of the
outstanding shares, or (iii) beneficial ownership of such entity.
"You" (or "Your") shall mean an individual or Legal Entity
exercising permissions granted by this License.
"Source" form shall mean the preferred form for making modifications,
including but not limited to software source code, documentation
source, and configuration files.
"Object" form shall mean any form resulting from mechanical
transformation or translation of a Source form, including but
not limited to compiled object code, generated documentation,
and conversions to other media types.
"Work" shall mean the work of authorship, whether in Source or
Object form, made available under the License, as indicated by a
copyright notice that is included in or attached to the work
(an example is provided in the Appendix below).
"Derivative Works" shall mean any work, whether in Source or Object
form, that is based on (or derived from) the Work and for which the
editorial revisions, annotations, elaborations, or other modifications
represent, as a whole, an original work of authorship. For the purposes
of this License, Derivative Works shall not include works that remain
separable from, or merely link (or bind by name) to the interfaces of,
the Work and Derivative Works thereof.
"Contribution" shall mean any work of authorship, including
the original version of the Work and any modifications or additions
to that Work or Derivative Works thereof, that is intentionally
submitted to Licensor for inclusion in the Work by the copyright owner
or by an individual or Legal Entity authorized to submit on behalf of
the copyright owner. For the purposes of this definition, "submitted"
means any form of electronic, verbal, or written communication sent
to the Licensor or its representatives, including but not limited to
communication on electronic mailing lists, source code control systems,
and issue tracking systems that are managed by, or on behalf of, the
Licensor for the purpose of discussing and improving the Work, but
excluding communication that is conspicuously marked or otherwise
designated in writing by the copyright owner as "Not a Contribution."
"Contributor" shall mean Licensor and any individual or Legal Entity
on behalf of whom a Contribution has been received by Licensor and
subsequently incorporated within the Work.
2. Grant of Copyright License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
copyright license to reproduce, prepare Derivative Works of,
publicly display, publicly perform, sublicense, and distribute the
Work and such Derivative Works in Source or Object form.
3. Grant of Patent License. Subject to the terms and conditions of
this License, each Contributor hereby grants to You a perpetual,
worldwide, non-exclusive, no-charge, royalty-free, irrevocable
(except as stated in this section) patent license to make, have made,
use, offer to sell, sell, import, and otherwise transfer the Work,
where such license applies only to those patent claims licensable
by such Contributor that are necessarily infringed by their
Contribution(s) alone or by combination of their Contribution(s)
with the Work to which such Contribution(s) was submitted. If You
institute patent litigation against any entity (including a
cross-claim or counterclaim in a lawsuit) alleging that the Work
or a Contribution incorporated within the Work constitutes direct
or contributory patent infringement, then any patent licenses
granted to You under this License for that Work shall terminate
as of the date such litigation is filed.
4. Redistribution. You may reproduce and distribute copies of the
Work or Derivative Works thereof in any medium, with or without
modifications, and in Source or Object form, provided that You
meet the following conditions:
(a) You must give any other recipients of the Work or
Derivative Works a copy of this License; and
(b) You must cause any modified files to carry prominent notices
stating that You changed the files; and
(c) You must retain, in the Source form of any Derivative Works
that You distribute, all copyright, patent, trademark, and
attribution notices from the Source form of the Work,
excluding those notices that do not pertain to any part of
the Derivative Works; and
(d) If the Work includes a "NOTICE" text file as part of its
distribution, then any Derivative Works that You distribute must
include a readable copy of the attribution notices contained
within such NOTICE file, excluding those notices that do not
pertain to any part of the Derivative Works, in at least one
of the following places: within a NOTICE text file distributed
as part of the Derivative Works; within the Source form or
documentation, if provided along with the Derivative Works; or,
within a display generated by the Derivative Works, if and
wherever such third-party notices normally appear. The contents
of the NOTICE file are for informational purposes only and
do not modify the License. You may add Your own attribution
notices within Derivative Works that You distribute, alongside
or as an addendum to the NOTICE text from the Work, provided
that such additional attribution notices cannot be construed
as modifying the License.
You may add Your own copyright statement to Your modifications and
may provide additional or different license terms and conditions
for use, reproduction, or distribution of Your modifications, or
for any such Derivative Works as a whole, provided Your use,
reproduction, and distribution of the Work otherwise complies with
the conditions stated in this License.
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
the terms of any separate license agreement you may have executed
with Licensor regarding such Contributions.
6. Trademarks. This License does not grant permission to use the trade
names, trademarks, service marks, or product names of the Licensor,
except as required for reasonable and customary use in describing the
origin of the Work and reproducing the content of the NOTICE file.
7. Disclaimer of Warranty. Unless required by applicable law or
agreed to in writing, Licensor provides the Work (and each
Contributor provides its Contributions) on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
implied, including, without limitation, any warranties or conditions
of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
PARTICULAR PURPOSE. You are solely responsible for determining the
appropriateness of using or redistributing the Work and assume any
risks associated with Your exercise of permissions under this License.
8. Limitation of Liability. In no event and under no legal theory,
whether in tort (including negligence), contract, or otherwise,
unless required by applicable law (such as deliberate and grossly
negligent acts) or agreed to in writing, shall any Contributor be
liable to You for damages, including any direct, indirect, special,
incidental, or consequential damages of any character arising as a
result of this License or out of the use or inability to use the
Work (including but not limited to damages for loss of goodwill,
work stoppage, computer failure or malfunction, or any and all
other commercial damages or losses), even if such Contributor
has been advised of the possibility of such damages.
9. Accepting Warranty or Additional Liability. While redistributing
the Work or Derivative Works thereof, You may choose to offer,
and charge a fee for, acceptance of support, warranty, indemnity,
or other liability obligations and/or rights consistent with this
License. However, in accepting such obligations, You may act only
on Your own behalf and on Your sole responsibility, not on behalf
of any other Contributor, and only if You agree to indemnify,
defend, and hold each Contributor harmless for any liability
incurred by, or claims asserted against, such Contributor by reason
of your accepting any such warranty or additional liability.
END OF TERMS AND CONDITIONS
APPENDIX: How to apply the Apache License to your work.
To apply the Apache License to your work, attach the following
boilerplate notice, with the fields enclosed by brackets "[]"
replaced with your own identifying information. (Don't include
the brackets!) The text should be enclosed in the appropriate
comment syntax for the file format. We also recommend that a
file or class name and description of purpose be included on the
same "printed page" as the copyright notice for easier
identification within third-party archives.
Copyright [yyyy] [name of copyright owner]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
README.md 0 → 100644
View file @ a0dcaa80
# Qwen3.5_vllm
## 论文
[Qwen3.5](https://qwen.ai/blog?id=qwen3.5)
## 模型简介
Qwen3.5 通过异构基础设施实现高效的原生多模态训练：
在视觉与语言组件上解耦并行策略，避免统一方案带来的低效。
利用稀疏激活实现跨模块计算重叠，在混合文本-图像-视频数据上相比纯文本基线达到近 100% 的训练吞吐。
在此基础上，原生 FP8 流水线对激活、MoE 路由与 GEMM 运算采用低精度，
并通过运行时监控在敏感层保持 BF16，实现约 50% 的激活显存降低与超过 10% 的加速，
并稳定扩展至数万亿 token。
为了持续释放强化学习的潜力，构建了可扩展的异步强化学习框架，
支持 Qwen3.5 全尺寸模型，并全面覆盖文本、多模态及多轮交互场景。
通过训推分离架构的解耦式设计，该框架显著提升了硬件利用率，
实现了动态负载均衡和细粒度的故障恢复。
配合 FP8 训推、Rollout 路由回放、投机采样以及多轮 Rollout 锁定等技术，
进一步优化了系统吞吐，提高了训推一致性。
通过系统与算法协同设计，该框架在严格控制样本陈旧性的基础上有效缓解了数据长尾问题，
提高了训练曲线的稳定性和性能上限。
此外，框架面向原生智能体工作流设计，能够实现稳定、无缝的多轮环境交互，
消除了框架层的调度中断。这种解耦设计使得系统能够扩展百万级规模的 Agent 脚手架与环境，
从而显著增强模型的泛化能力。
上述优化最终取得了 3×–5× 的端到端加速，展现了卓越的稳定性、高效率与可扩展性。
<div align=center>
<img src="./doc/qwen3.5_397b_a17b_infra.jpg"/>
</div>
## 环境依赖
| 软件 | 版本 |
| :------: |:---------:|
| DTK | dtk26.04 |
| python | 3.10.12 |
| transformers | 5.2.0.dev0 |
| vllm | 0.15.1+das.opt1.alpha.dtk2604 |
| triton | 3.3.0+das.opt2.dtk2604.20260203.g393ad86c |
| torch | 2.9.0+das.opt1.dtk2604.20260126.g22910426 |
当前仅支持镜像: harbor.sourcefind.cn:5443/dcu/admin/base/pytorch:2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204
**注意**：模型所依赖镜像暂未上线光源，请使用以下wget方式下载并load镜像：
```bash
wget http://112.11.119.99:18000/docker-images/das18-20260204/pytorch2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204.tar.gz
docker load -i pytorch2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204.tar.gz
```
- 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 qwen3.5 \
--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/pytorch:2.9.1-ubuntu22.04-dtk26.04-0130-py3.10-20260204 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，vllm、flash_mla、numpy等需要替换安装：
```
pip uninstall vllm flash_mla numpy
pip install flash_mla-1.0.0-cp310-cp310-manylinux_2_28_x86_64.whl
pip install vllm-0.15.1+das.opt1.alpha.dtk2604-cp310-cp310-linux_x86_64.whl
pip install git+https://github.com/huggingface/transformers.git
pip install numpy==1.25.0
```
## 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
# K100_AI集群建议额外设置的环境变量：
export VLLM_ENFORCE_EAGER_BS_THRESHOLD=44
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 Qwen/Qwen3.5-397B-A17B \
--port 8001 \
--tensor-parallel-size 16 \
--distributed-executor-backend ray \
--max-model-len 262144 \
--reasoning-parser qwen3
## client访问
curl http://localhost:8001/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "Qwen/Qwen3.5-397B-A17B",
"messages": [
{"role": "user", "content": "Type \"I love Qwen3.5\" backwards"}
],
"temperature": 0.6
}'
```
## 效果展示
<div align=center>
<img src="./doc/result-dcu.jpg"/>
</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 |
|:------:|:----:|:----------:|:------:|:---------------------:|
| Qwen3.5-397B-A17B | 397B | BW1000 | 16 | [Hugging Face](https://huggingface.co/Qwen/Qwen3.5-397B-A17B) |
## 源码仓库及问题反馈
- https://developer.sourcefind.cn/codes/modelzoo/qwen3.5_vllm
## 参考资料
- https://github.com/QwenLM/Qwen3.5
icon.png 0 → 100644
View file @ a0dcaa80
icon.png

53.8 KB

model.properties 0 → 100644
View file @ a0dcaa80
# 模型唯一标识
modelCode=2095
# 模型名称
modelName=qwen3.5_vllm
# 模型描述
modelDescription=Qwen3.5 相对于 Qwen3 系列模型，其 Post-training 性能提升主要来自于对各类 RL 任务和环境的全面扩展，更加强调 RL 环境的难度与可泛化性，而非针对特定指标或狭隘类别的 query 进行优化。
# 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=K100AI,BW1000
\ No newline at end of file
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment