Commit Graph

527 Commits

Author SHA1 Message Date
Icey
4fcacca8a6 [BugFix] Fix build wheel (#6218)
### What this PR does / why we need it?
- Fixes
https://github.com/vllm-project/vllm-ascend/actions/runs/21312847954/job/61351587180

### Does this PR introduce _any_ user-facing change?
N/A

### How was this patch tested?
CI passed with new added/existing test.

- vLLM version: v0.14.0
- vLLM main:
d68209402d

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-24 20:08:20 +08:00
Li Wang
af4dbb6b26 [CI] Use nginx for package cache to speed up CI (#6170)
### What this PR does / why we need it?
 Use nginx for package cache to speed up CI

- vLLM version: v0.14.0
- vLLM main:
d68209402d

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-23 16:56:16 +08:00
zhangxinyuehfad
193acc2c19 [CI] Add nightly ci test for deepseek v3.1 (#5386)
### What this PR does / why we need it?
Add nightly ci test for deepseek v3.1

- vLLM version: release/v0.13.0
- vLLM main:
bc0a5a0c08

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-23 14:36:49 +08:00
wjunLu
72ffc00b86 [Bugfix] Fix structured outputs errors: TypeError: apply_token_bitmask_inplace_cpu() (#6151)
### What this PR does / why we need it?
Fix https://github.com/vllm-project/vllm-ascend/issues/5524

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-23 09:52:55 +08:00
zhangxinyuehfad
819a4459ce Drop vLLM 0.13.0 support (#6069)
### What this PR does / why we need it?
Drop vLLM 0.13.0 support, upgrade to 0.14.0

- vLLM version: v0.13.0
- vLLM main:
d68209402d

---------

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-23 09:45:08 +08:00
wjunLu
88632cf976 [CI][Doc] Upgrade wheel building's CANN to 8.5.0 and update the Docs (#6145)
### What this PR does / why we need it?
Upgrade wheel building's CANN to 8.5.0 and update the Docs


- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-22 19:50:54 +08:00
meihanc
e54d294df3 [CI]Install clang in dokerfile for triton ascend (#4409)
### What this PR does / why we need it?
Install clang in dokerfile for triton ascend

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-22 19:01:28 +08:00
Li Wang
484e7c59dc [CI] optimize lint term (#5986)
### What this PR does / why we need it?
This patch purpose to optimize the lint check term. The main idea is to
reduce unnecessary installation time.
1. The installation of vllm is not must, only append the path of vllm
src to the `PATHONPATH` is effective
2. This installation of `requirements-dev.txt` is not must, we have a
pre-built image `quay.io/ascend-ci/vllm-ascend:lint` with all the
requirements installed in advance.
**NOTE**: the conditions for triggering image builds are: 1).Daily
scheduled build; 2) Build when requirements are modified; 3) Manual
build. This ensures that the dependencies in our image are up-to-date to
the greatest extent possible.
3. The `mypy` was separated from the `pre-commit` hook for performance
reasons; we found that integrating `mypy` into the `pre-commit` hook
resulted in poor performance.
4. Reduce the CPU core consumption from 16 -> 8

### Does this PR introduce _any_ user-facing change?
The end-to-end lint time was optimized from 20min/per PR to 8min/per PR
### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-22 15:46:59 +08:00
maxmgrdv
ef9d8367f5 [Feature] Add support of new W4A4_LAOS_DYNAMIC quantization method (#5143)
Introduce W4A4 LAOS Quantization for better model compression and
inference efficiency on Ascend devices.

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-22 10:34:58 +08:00
wangxiyuan
69740039b7 [CI] Upgrade CANN to 8.5.0 (#6070)
### What this PR does / why we need it?
1. Upgrade CANN to 8.5.0
2. move triton-ascend 3.2.0 to requirements

note: we skipped the two failed e2e test, see
https://github.com/vllm-project/vllm-ascend/issues/6076 for more detail.
We'll fix it soon.


### How was this patch tested?
Closes: https://github.com/vllm-project/vllm-ascend/issues/5494

- vLLM version: v0.13.0
- vLLM main:
d68209402d

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-22 09:29:50 +08:00
meihanc
53bfb38192 [CI]Update triton ascend version in 3.2.0 (#6067)
### What this PR does / why we need it?
update triton ascend version in 3.2.0

- vLLM version: v0.13.0
- vLLM main:
d68209402d

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-21 16:02:23 +08:00
Li Wang
0c0514579f [CI][Lint] Show lint diff on failure (#5956)
### What this PR does / why we need it?
Currently, some of lint checks default automatic code correction but
only shows which files were modified (without specifying the changes);
in a CI environment, we can make a small optimization to show which
lines were modified to give the developers some specifying hint.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-20 21:07:01 +08:00
zhangxinyuehfad
750c06c78a [CI] Add DeepSeek-V3.2-W8A8 nightly ci test (#4633)
### What this PR does / why we need it?
Add DeepSeek-V3.2-W8A8 nightly ci test:

DeepSeek-V3.2-W8A8 1node DP2+TP8
:tests/e2e/nightly/models/test_deepseek_v3_2_w8a8.py

### Does this PR introduce _any_ user-facing change

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-20 21:05:15 +08:00
Icey
402872050a [Tests] move qwen3 performance test from nightly to e2e (#5980)
### What this PR does / why we need it?
Move the qwen3 performance test from nightly to e2e to intercept
performance degradation.

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

---------

Signed-off-by: wxsIcey <1790571317@qq.com>
2026-01-20 17:08:43 +08:00
meihanc
ea57e3e7a4 [Main2Main] Upgrade vllm commit to releases/v0.14.0 (#5988)
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-20 15:10:40 +08:00
LeeWenquan
55b20ac63b [Ops] Add layernorm for qwen3Next (#5765)
### What this PR does / why we need it?
Add layernormFn triton op for qwen3Next model for better performance.

<img width="248" height="526" alt="image"
src="https://github.com/user-attachments/assets/27b47157-5df5-4db1-aa88-1dae799b2bf6"
/>

### Does this PR introduce _any_ user-facing change?

No

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: SunnyLee219 <3294305115@qq.com>
2026-01-20 14:43:14 +08:00
Song Zhixin
2b6dc100b5 Eagle3 mm support, enablement on qwen3vl (#4848)
### What this PR does / why we need it?
follow pr
[https://github.com/vllm-project/vllm/pull/20788](https://github.com/vllm-project/vllm/pull/20788)
, Eagle3 mm support, enablement on qwen3vl
target model
[Qwen/Qwen3-VL-8B-Instruct]([https://huggingface.co/Qwen/Qwen3-VL-8B-Instruct])
eagle3
[MNN/Qwen3-VL-8B-Instruct-Eagle3](https://www.modelscope.cn/models/MNN/Qwen3-VL-8B-Instruct-Eagle3)
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?

pytest ./tests/e2e/singlecard/test_completion_with_prompt_embeds.py -vv

vLLM with eagle3 :
```bash
vllm serve /model/Qwen3-VL-8B-Instruct   --enforce-eager   --port 9100    --max-model-len 32768   --max-num-seqs 32   --tensor-parallel-size 2   --allowed-local-media-path /model/gx/images  --speculative-config '{
    "method": "eagle3",
    "model": "/model/hf/Qwen3-VL-8B-Instruct-Eagle3",
    "num_speculative_tokens": 3
  }'
```
vLLM without eagle3 :
```bash
vllm serve /model/Qwen3-VL-8B-Instruct   --enforce-eager   --port 9100    --max-model-len 32768   --max-num-seqs 32   --tensor-parallel-size 2   --allowed-local-media-path /model/gx/images 
```

bench:
```
vllm bench serve   --backend openai-chat   --base-url http://127.0.0.1:9100   --tokenizer /model/Qwen3-VL-8B-Instruct   --endpoint /v1/chat/completions   --model /model/Qwen3-VL-8B-Instruct   --dataset-name random  --num-prompts 50   --max-concurrency 5   --temperature 0   --top-p 1.0   --seed 123
```

- vLLM version: v0.12.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: jesse <szxfml@gmail.com>
2026-01-19 08:58:07 +08:00
zhangxinyuehfad
4f446aec4c [CI] Add DeepSeek-V3.2-W8A8-Pruning e2e test (#5922)
### What this PR does / why we need it?
1. Fix DeepSeek-V3.2-W8A8-Pruning mtp
2. Add DeepSeek-V3.2-W8A8-Pruning e2e test

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
11b6af5280

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-16 15:49:57 +08:00
wangxiyuan
69b170b8b5 [CI] skip 310 test for full test (#5943)
Skip 310 test for full test. It's not stable now.

- vLLM version: v0.13.0
- vLLM main:
2c24bc6996

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-16 10:36:20 +08:00
wjunLu
73a3f822c7 [Main2Main] Upgrade vllm commit to releases/v0.14.0 (#5911)
### What this PR does / why we need it?
Upgrade vllm commit to releases/v0.14.0

- Re-open cases in `tests/e2e/singlecard/pooling/test_scoring.py`, since
the errors before have been fixed by
https://github.com/vllm-project/vllm/pull/32243
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
11b6af5280

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-15 23:22:43 +08:00
zhangxinyuehfad
372f979aa5 [CI] Add DeepSeek R1 W8A8 HMB nightly ci (#5874)
### What this PR does / why we need it?

Add DeepSeek R1 W8A8 HMB nightly ci

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-15 20:48:20 +08:00
wangxiyuan
a25209252f [CI] Add 310p e2e test back (#5797)
This PR add 310 e2e test back to ensure the related PR will be tested on
310.
1. for light e2e, we'll run 310p test if the changed files are located
in `vllm_ascend/_310p`
2. for full e2e, we'll always run 310p test
3. for main2main test, we'll stop run 310p test

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-15 15:47:13 +08:00
meihanc
80fbb1b6b1 [CI]Fix nightly clang installation following previous attempt (#5907)
### What this PR does / why we need it?
This PR fixes the issue where the previous PR
https://github.com/vllm-project/vllm-ascend/pull/5733 failed to install
Clang in nightly environment.

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-15 14:18:11 +08:00
wjunLu
c11a05c4e1 [Main2Main] Upgrade vllm commit to 0113 (#5839)
### What this PR does / why we need it?
Upgrade vllm commit to 0113 (11b6af5280d6d6dfb8953af16e67b25f819b3be9)

- Modify import paths due to the refactors
https://github.com/vllm-project/vllm/pull/31916
https://github.com/vllm-project/vllm/pull/32054

- Fix `TypeError: NPUOffloadingSpec.__init__() takes 2 positional
arguments but 3 were given` due to
https://github.com/vllm-project/vllm/pull/24498

- Skip the async-scheduling tests in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are never
verified
https://github.com/vllm-project/vllm/pull/31998

- Skip some pooling tests, which are caused by
https://github.com/vllm-project/vllm/pull/32148
where vllm is also failed
https://buildkite.com/vllm/ci/builds/46705/steps/canvas?jid=019bb329-3834-4685-862b-1613b8e0f5d4

We will reopen those tests when main2main reachs
https://github.com/vllm-project/vllm/pull/32243

- Skip some cases in
`tests/e2e/multicard/4-cards/long_sequence/test_mtp.py`, which are
broken by
https://github.com/vllm-project/vllm/pull/32118

### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wjunLu <wjunlu217@gmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
2026-01-15 09:48:53 +08:00
SILONG ZENG
4811ba62e0 [Lint]Style: reformat markdown files via markdownlint (#5884)
### What this PR does / why we need it?
reformat markdown files via markdownlint

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: root <root@LAPTOP-VQKDDVMG.localdomain>
2026-01-15 09:06:01 +08:00
meihanc
a9f730b853 [bugfix]Intermittent CI failure in the triton runtime jit (#5733)
### What this PR does / why we need it?
fix bug : https://github.com/vllm-project/vllm-ascend/issues/5634
Intermittent CI failure due to a compilation error in the triton
operator
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-14 22:58:08 +08:00
Li Wang
f6a37fc549 [CI] Reduce the resource consumption of unit tests (#5891)
### What this PR does / why we need it?
Reduce the resource consumption of unit tests: 32U/pr -> 16U /pr

- vLLM version: v0.13.0
- vLLM main:
bde38c11df

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-14 16:33:19 +08:00
LHXuuu
0415e694cd [Quantization] Support compressed tensors moe w8a8 int8 dynamic weight (#5718)
### What this PR does / why we need it?
While using the LLM Compressor quantization tool from the VLLM community
to generate quantized weights, the VLLM Ascend engine needs to be
adapted to support the compressed tensors quantization format.

1. Support Moe model W8A8 Int8 dynamic weight.
2. Specify W4A16 quantization configuration.

Co-authored-by: menogrey 1299267905@qq.com
Co-authored-by: kunpengW-code 1289706727@qq.com

### Does this PR introduce _any_ user-facing change?
No

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: LHXuuu <scut_xlh@163.com>
Signed-off-by: menogrey <1299267905@qq.com>
Signed-off-by: Wang Kunpeng <1289706727@qq.com>
Co-authored-by: menogrey <1299267905@qq.com>
Co-authored-by: Wang Kunpeng <1289706727@qq.com>
2026-01-14 09:17:26 +08:00
drslark
48ec97821a [Bugfix] Fixed an accuracy problem of sp with eagle3 (#5816)
### What this PR does / why we need it?
Fixed an accuracy problem when using eagle3 with sp.

The problem is described in
https://github.com/vllm-project/vllm-ascend/issues/5825.

It also adds a much more precise way to determine whether drafter should
use `sp` or not.

Also, it changes the `eager` of drafter to be a real `eager` in frontend
to avoid a `fx-graph` problem.

### Does this PR introduce _any_ user-facing change?

N/A

### How was this patch tested?

For simpilicity, we test it as in
https://github.com/vllm-project/vllm-ascend/issues/5825.

And we get the same result of `eagle3` with `sp` disabled.

```text
--------------------------------------------------
total_num_output_tokens: 1000
num_drafts: 437
num_draft_tokens: 1311
num_accepted_tokens: 564
mean acceptance length: 2.29
--------------------------------------------------
acceptance at token 0: 0.62
acceptance at token 1: 0.40
acceptance at token 2: 0.27
acceptance at token 3: 0.00
acceptance at token 4: 0.00
acceptance at token 5: 0.00
```

* vLLM version: v0.13.0
* vLLM main:
2f4e6548ef

Signed-off-by: drslark <slarksblood@qq.com>
2026-01-14 09:00:37 +08:00
zhangxinyuehfad
f7b904641e [Main2Main] Upgrade vllm commit to 0109 (#5752)
### What this PR does / why we need it?
Upgrade vllm commit to 0109 (bde38c11df0ea066a740efe9b77fff5418be45df)

1. remove `init_cached_hf_modules ` due to
https://github.com/vllm-project/vllm/pull/31786
2. fix spec_decode e2e test due to
https://github.com/vllm-project/vllm/pull/29821 break
3. fix `vllm.v1.attention.backends.utils` duo to
https://github.com/vllm-project/vllm/pull/31891
4. fix `self.seq_lens - query_lens` on same device due to
https://github.com/vllm-project/vllm/pull/31773
5. skip model_runner_v2 e2e test due to `'_OpNamespace' '_C' object has
no attribute 'get_cuda_view_from_cpu_tensor'`

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: hfadzxy <starmoon_zhang@163.com>
2026-01-13 19:14:43 +08:00
yupeng
5b95c6b03a [Test][e2e][LoRA] Add more e2e tests to cover scenarios of LoRA (#4075)
### What this PR does / why we need it?

This PR depends on PR
https://github.com/vllm-project/vllm-ascend/pull/4046. And only if the
latter merged, it will work.

This PR aims to solve the issue
https://github.com/vllm-project/vllm-ascend/issues/3240.

The new-added Llama-2-7b-hf and Qwen3-0.6B testcases will cover the
senarios that the LoRA weights are added to q_proj, v_proj, k_proj,
o_proj, gate_proj, up_proj, down_proj, embed_tokens and lm_head modules.

### Does this PR introduce _any_ user-facing change?
No.

### How was this patch tested?
pytest -sv tests/e2e/singlecard/test_llama2_lora.py
pytest -sv tests/e2e/singlecard/test_qwen3_multi_loras.py


- vLLM version: v0.11.0
- vLLM main:
83f478bb19

---------

Signed-off-by: paulyu12 <507435917@qq.com>
2026-01-13 16:32:28 +08:00
wangxiyuan
84d4f474c0 [CI] Unblock 4-cards test (#5831)
CI cost time:
single: 160min
2-cards: 110min
4-cards: 120min

full cost time:
before this PR: max(160, 110)+120 = 280min
after this PR: min(160, 110)+120 = 230min

Reduce 50min for e2e test.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-13 11:15:29 +08:00
Li Wang
75c92a3640 [CI] Move nightly-a2 test to hk (#5807)
### What this PR does / why we need it?
This patch initial testing involved connecting two nodes from the HK
region to nightly A2.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-12 22:58:35 +08:00
Li Wang
2a010a1f0e [CI] Show disk usage for CI shared volume (#5821)
### What this PR does / why we need it?
1. Remove some useless but too large models from the shared volume
2. Add a new step to show current usage


- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-12 22:56:23 +08:00
dependabot[bot]
86c4bea116 Bump actions/checkout from 4 to 6 (#5795)
Bumps [actions/checkout](https://github.com/actions/checkout) from 4 to 6.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-01-12 20:44:23 +08:00
dependabot[bot]
7ab63661f5 Bump actions/github-script from 7 to 8 (#5796)
Bumps [actions/github-script](https://github.com/actions/github-script) from 7 to 8.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-01-12 20:44:02 +08:00
SILONG ZENG
7a6fde80b1 [CI]Add Kimi k2 nightly test (#5682)
### What this PR does / why we need it?
The PR add performance and accuracy tests for **Kimi-K2-Instruct-W8A8**
and **Kimi-K2-Thinking** models to the Nightly test suite.

#### Test Configuration
**Kimi-K2-Instruct-W8A8**
- model: vllm-ascend/Kimi-K2-Instruct-W8A8
- Hardware: A3, 2 Nodes (32 NPUs total, 16 NPUs per node)
- Architecture: Unified Distributed Inference
- Parallelism: **DP4 + TP8 + EP** (Data Parallel 4, Tensor Parallel 8,
Expert Parallel enabled).
  - Optimization: **torchair graph**, **no-prefix-caching**.
  - Node 0: DP Rank 0-1, Local DP 2, Tensor Parallel 8.
  - Node 1: DP Rank 2-3, Local DP 2, Tensor Parallel 8.
- Benchmarks:
  - Performance: vllm-ascend/GSM8K-in3500-bs2800.
  - Accuracy: vllm-ascend/gsm8k-lite.

**Kimi-K2-Thinking**
- Model: moonshotai/Kimi-K2-Thinking
- Hardware: A3, 1 Node (16 NPUs total)
- Architecture: Single Node Distributed Inference
- Parallelism: TP16 + EP (Tensor Parallel 16, Expert Parallel enabled).
  - Optimization: **no-prefix-caching**
- Benchmarks:
  - Performance: vllm-ascend/GSM8K-in3500-bs400.
  - Accuracy: vllm-ascend/gsm8k-lite.


### Does this PR introduce _any_ user-facing change?
**Yes.** This PR enhances the ```AisbenchRunner``` to support dynamic
configuration of the ```trust_remote_code``` flag. This allows the
AISBench client to successfully load tokenizers for models that require
custom code execution (e.g., **Kimi-K2-Thinking and
Kimi-K2-Instruct-W8A8**).

**Changes:**
1. ```AisbenchRunner.__init__ ```Added the ability to capture the
```trust_remote_code``` parameter from the case configuration.
``` python
         self.batch_size = aisbench_config["batch_size"]
         self.request_rate = aisbench_config.get("request_rate", 0)
+        self.trust_remote_code = aisbench_config.get("trust_remote_code", False)
         self.temperature = aisbench_config.get("temperature")
         self.top_k = aisbench_config.get("top_k")
```
2. ```AisbenchRunner._init_request_conf``` Added regex substitution to
inject the parameter into the generated dynamic configuration file.
``` python
         content = re.sub(r'batch_size.*', f'batch_size = {self.batch_size},',
                          content)
+        content = re.sub(r'trust_remote_code=.*',
+                         f'trust_remote_code={self.trust_remote_code},',
+                         content)
         content = content.replace("top_k", "#top_k")
         content = content.replace("seed", "#seed")
```

**Details:**
- New Config Key: Users can add ```"trust_remote_code": True``` to any
dictionary within the ```aisbench_cases``` list.
- Default Value: Defaults to ```False``` to maintain existing security
protocols for standard models.
- Impact: Resolves ```ValueError``` when benchmarking reasoning models
or models with custom tokenizers that previously failed during the
AISBench local initialization phase.

**User Example:**
Users can now enable custom code execution for specific models (like
Kimi-K2-Thinking) directly in their test suite:
```
# Now supported in test scripts:
aisbench_cases = [{
    "case_type": "performance",
    "request_conf": "vllm_api_stream_chat",
    "trust_remote_code": True,  # New user-facing parameter
    ...
}]
```
### How was this patch tested?
Actions:
- https://github.com/vllm-project/vllm-ascend/actions/runs/20849768433

Result as following:

- **Kimi-K2-Instruct-W8A8**(25m25s)
1. Accuracy test
```
dataset    version    metric    mode      vllm-api-general-chat
---------  ---------  --------  ------  -----------------------
gsm8k      7cd45e     accuracy  gen                       96.88
```
2. Perf test
```
╒══════════════════════════╤═════════╤════════════════╤════════════════╤═══════════════╤════════════════╤════════════════╤════════════════╤════════════════╤═════╕
│ Performance Parameters   │ Stage   │ Average        │ Min            │ Max           │ Median         │ P75            │ P90            │ P99            │  N  │
╞══════════════════════════╪═════════╪════════════════╪════════════════╪═══════════════╪════════════════╪════════════════╪════════════════╪════════════════╪═════╡
│ E2EL                     │ total   │ 34571.489 ms   │ 28657.8054 ms  │ 36294.1788 ms │ 34714.7329 ms  │ 35247.2724 ms  │ 35526.6758 ms  │ 36146.4314 ms  │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TTFT                     │ total   │ 2043.9136 ms   │ 627.4718 ms    │ 3532.3978 ms  │ 1906.0194 ms   │ 2307.7979 ms   │ 2883.8528 ms   │ 3283.7012 ms   │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TPOT                     │ total   │ 127.5591 ms    │ 106.4937 ms    │ 137.107 ms    │ 128.3135 ms    │ 129.5704 ms    │ 131.1332 ms    │ 134.1087 ms    │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ ITL                      │ total   │ 126.5571 ms    │ 0.0095 ms      │ 1340.783 ms   │ 104.1398 ms    │ 110.1272 ms    │ 119.6124 ms    │ 950.2924 ms    │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ InputTokens              │ total   │ 3516.6055      │ 3014.0         │ 3985.0        │ 3525.0         │ 3525.0         │ 3586.8         │ 3800.67        │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokens             │ total   │ 256.0          │ 256.0          │ 256.0         │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 512 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼───────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokenThroughput    │ total   │ 7.4143 token/s │ 7.0535 token/s │ 8.933 token/s │ 7.3744 token/s │ 7.4118 token/s │ 7.5608 token/s │ 8.7051 token/s │ 512 │
╘══════════════════════════╧═════════╧════════════════╧════════════════╧═══════════════╧════════════════╧════════════════╧════════════════╧════════════════╧═════╛
╒══════════════════════════╤═════════╤═══════════════════╕
│ Common Metric            │ Stage   │ Value             │
╞══════════════════════════╪═════════╪═══════════════════╡
│ Benchmark Duration       │ total   │ 279430.9375 ms    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Requests           │ total   │ 512               │
├──────────────────────────┼─────────┼───────────────────┤
│ Failed Requests          │ total   │ 0                 │
├──────────────────────────┼─────────┼───────────────────┤
│ Success Requests         │ total   │ 512               │
├──────────────────────────┼─────────┼───────────────────┤
│ Concurrency              │ total   │ 63.3452           │
├──────────────────────────┼─────────┼───────────────────┤
│ Max Concurrency          │ total   │ 64                │
├──────────────────────────┼─────────┼───────────────────┤
│ Request Throughput       │ total   │ 1.8323 req/s      │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Input Tokens       │ total   │ 1800502           │
├──────────────────────────┼─────────┼───────────────────┤
│ Prefill Token Throughput │ total   │ 1720.5255 token/s │
├──────────────────────────┼─────────┼───────────────────┤
│ Total generated tokens   │ total   │ 131072            │
├──────────────────────────┼─────────┼───────────────────┤
│ Input Token Throughput   │ total   │ 6443.4598 token/s │
├──────────────────────────┼─────────┼───────────────────┤
│ Output Token Throughput  │ total   │ 469.0676 token/s  │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Token Throughput   │ total   │ 6912.5274 token/s │
╘══════════════════════════╧═════════╧═══════════════════╛
```

- **Kimi-K2-Thinking**(43m51s)
1. Accuracy test
```
dataset    version    metric    mode      vllm-api-general-chat
---------  ---------  --------  ------  -----------------------
gsm8k      7cd45e     accuracy  gen                      100.00
```
2. Perf test
```
╒══════════════════════════╤═════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤════════════════╤═════╕
│ Performance Parameters   │ Stage   │ Average        │ Min            │ Max            │ Median         │ P75            │ P90            │ P99            │  N  │
╞══════════════════════════╪═════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪════════════════╪═════╡
│ E2EL                     │ total   │ 172384.3573 ms │ 34456.5517 ms  │ 205922.9407 ms │ 174844.2216 ms │ 202656.092 ms  │ 204428.9502 ms │ 205468.6776 ms │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TTFT                     │ total   │ 138740.3228 ms │ 655.1066 ms    │ 171777.3003 ms │ 141088.0561 ms │ 169237.5599 ms │ 170716.4954 ms │ 171393.1278 ms │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ TPOT                     │ total   │ 131.9374 ms    │ 90.6331 ms     │ 135.4144 ms    │ 132.405 ms     │ 132.948 ms     │ 133.7549 ms    │ 135.2543 ms    │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ ITL                      │ total   │ 130.9028 ms    │ 0.0099 ms      │ 960.3683 ms    │ 116.9623 ms    │ 122.3127 ms    │ 132.0522 ms    │ 886.4662 ms    │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ InputTokens              │ total   │ 3514.575       │ 3014.0         │ 3843.0         │ 3525.0         │ 3525.0         │ 3588.0         │ 3801.08        │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokens             │ total   │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 256.0          │ 400 │
├──────────────────────────┼─────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼────────────────┼─────┤
│ OutputTokenThroughput    │ total   │ 1.6799 token/s │ 1.2432 token/s │ 7.4296 token/s │ 1.4642 token/s │ 1.4737 token/s │ 1.8754 token/s │ 7.125 token/s  │ 400 │
╘══════════════════════════╧═════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧════════════════╧═════╛
╒══════════════════════════╤═════════╤═══════════════════╕
│ Common Metric            │ Stage   │ Value             │
╞══════════════════════════╪═════════╪═══════════════════╡
│ Benchmark Duration       │ total   │ 1166795.568 ms    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Requests           │ total   │ 400               │
├──────────────────────────┼─────────┼───────────────────┤
│ Failed Requests          │ total   │ 0                 │
├──────────────────────────┼─────────┼───────────────────┤
│ Success Requests         │ total   │ 400               │
├──────────────────────────┼─────────┼───────────────────┤
│ Concurrency              │ total   │ 59.0967           │
├──────────────────────────┼─────────┼───────────────────┤
│ Max Concurrency          │ total   │ 64                │
├──────────────────────────┼─────────┼───────────────────┤
│ Request Throughput       │ total   │ 0.3428 req/s      │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Input Tokens       │ total   │ 1405830           │
├──────────────────────────┼─────────┼───────────────────┤
│ Prefill Token Throughput │ total   │ 25.332 token/s    │
├──────────────────────────┼─────────┼───────────────────┤
│ Total generated tokens   │ total   │ 102400            │
├──────────────────────────┼─────────┼───────────────────┤
│ Input Token Throughput   │ total   │ 1204.864 token/s  │
├──────────────────────────┼─────────┼───────────────────┤
│ Output Token Throughput  │ total   │ 87.7617 token/s   │
├──────────────────────────┼─────────┼───────────────────┤
│ Total Token Throughput   │ total   │ 1292.6258 token/s │
╘══════════════════════════╧═════════╧═══════════════════╛
```

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
Signed-off-by: root <root@LAPTOP-VQKDDVMG.localdomain>
2026-01-12 15:56:07 +08:00
wangxiyuan
5ccd53e28a [CI] adpat v0.13.0 change (#5793)
Add `releases` match case for CI jobs and update related doc for v0.13.0
branch

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-12 14:06:56 +08:00
wangxiyuan
354ee3b330 [Doc] Update doc url link (#5781)
Drop `dev` suffix for doc url.
Rename url to `https://docs.vllm.ai/projects/ascend`

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-12 11:21:31 +08:00
SILONG ZENG
09b3f9d91b [CI]Add Disaggregated PD Nightly Test for Qwen3-235B and Qwen3-VL-235B (#5502)
### What this PR does / why we need it?
This PR adds online **Disaggregated Prefill/Decode** performance and
accuracy tests for the **Qwen3-235B-A22B** and
**Qwen3-VL-235B-A22B-Instruct** models to the Nightly test suite.

These test configurations simulate the deployment of massive MoE and
Vision-Language models in **a dual-node (32 NPU)** environment,
utilizing Mooncake (KVCache Transfer) technology to achieve efficient KV
cache transfer between the Prefill node and the Decode node.

#### Test Configuration
**Qwen3-235B-A22B**
- Model: Qwen/Qwen3-235B-A22B
- Hardware: A3, 2 Nodes (32 NPUs total, 16 NPUs per node)
- Architecture: Disaggregated Prefill & Decode
- Node 0 (Producer/Prefill): **DP2 + TP8 + EP + FLASHCOMM1 +
FUSED_MC2**.
- Node 1 (Consumer/Decode): **DP4 + TP4 + EP + FLASHCOMM1 + FUSED_MC2 +
FULL_DECODE_ONLY**.
- Benchmarks:
  - Performance: vllm-ascend/GSM8K-in3500-bs2800.
  - Accuracy: vllm-ascend/gsm8k-lite.

**Qwen3-VL-235B-A22B-Instruct**
- Model: Qwen/Qwen3-VL-235B-A22B-Instruct
- Hardware: A3, 2 Nodes (32 NPUs total, 16 NPUs per node)
- Architecture: Disaggregated Prefill & Decode
  - Node 0 (Producer/Prefill): **DP2 + TP8 + EP**.
  - Node 1 (Consumer/Decode): **DP4 + TP4 + EP + FULL_DECODE_ONLY**.
- Benchmarks:
  - Performance: vllm-ascend/textvqa-perf-1080p.
  - Accuracy: vllm-ascend/textvqa-lite.

### How was this patch tested?
Nightly test action on CI

- vLLM version: v0.13.0
- vLLM main:
45c1ca1ca1

---------

Signed-off-by: MrZ20 <2609716663@qq.com>
2026-01-09 16:25:20 +08:00
ZT-AIA
e11ff8e535 [BufFix]Fix the error when using Ascend custom operators with rank=128 (#5394)
### What this PR does / why we need it?
The customized ascend operator sgmv_expand and sgmv_shrink applies only
to the scenario where rank is 8,16,32,64. When rank >= 128, the operator
is out of range, causing the model to report an error.
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?
Depends on this commit https://github.com/vllm-project/vllm/pull/31408 
- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867

---------

Signed-off-by: ZT-AIA <1028681969@qq.com>
Signed-off-by: ZT-AIA <63220130+ZT-AIA@users.noreply.github.com>
2026-01-09 15:57:43 +08:00
wangxiyuan
d36ca88cf4 [CI] Avoid lint and ut for PR push (#5762)
1. Don't run lint and ut again once the PR is merged to save CI resource
2. Update codecov every 4 hour
3. rename `model_downloader` to suitable name
4. update schedule job to better time.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-09 15:57:06 +08:00
Li Wang
64904ab5b6 [CI] lint and ut use self_hosted runner (#5652)
### What this PR does / why we need it?
lint and ut use self_hosted runner

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-09 14:26:14 +08:00
LeeWenquan
a3a74d6984 [CI] Add qwen3 next ci (#5395)
### What this PR does / why we need it?
Add Qwen3Next CI 

### Does this PR introduce _any_ user-facing change?

NO

### How was this patch tested?

- vLLM version: release/v0.13.0
- vLLM main:
254f6b9867

---------

Signed-off-by: SunnyLee219 <3294305115@qq.com>
2026-01-09 10:29:09 +08:00
Li Wang
595d3484c4 [Nightly] Move ops to the correct path (#5642)
### What this PR does / why we need it?
Move ops to the correct path where they belong

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-09 09:23:36 +08:00
wangxiyuan
1ff1c96d13 [CI] Remove workflow_dispatch way for image build (#5742)
There is some problem for workflow_dispatch way for image build. Let's
remove it first to make CI happy. I'll add it back once it's well
tested.

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-09 09:20:30 +08:00
meihanc
6315a31399 [CI] Add triton ascend in nightly CI (#5716)
### What this PR does / why we need it?
Add triton ascend in nightly
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

---------

Signed-off-by: Meihan-chen <jcccx.cmh@gmail.com>
2026-01-08 21:17:32 +08:00
wangxiyuan
d03cc9c456 [CI] Fix image build workflow_dispatch error (#5717)
type `raw` must contain `value` section. This PR fix the image build
error

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-08 15:07:33 +08:00
Li Wang
920bbe932f [CI] Drop outdated cases (#5709)
### What this PR does / why we need it?
Correcting some outdated use cases:
`tests/e2e/singlecard/test_aclgraph_accuracy.py::test_models_output` ->
`tests/e2e/singlecard/test_aclgraph_accuracy.py::test_piecewise_res_consistency`
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-08 11:23:44 +08:00
wangxiyuan
264cc254cc [CI] fix image build tag (#5703)
ref doesn't work with workflow_dispatch, let's change it to raw way

This PR also merge the pr_create job into one runner to save resource.
- vLLM version: v0.13.0
- vLLM main:
2f4e6548ef

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-01-08 09:27:45 +08:00