22 Commits

Author SHA1 Message Date
realliujiaxu
5d12446573 [Feat][SP] Suport SP for VL MoE models (#7044)
### What this PR does / why we need it?

2nd PR for https://github.com/vllm-project/vllm-ascend/issues/5712,
extend SP to VL MoE models.


### Does this PR introduce _any_ user-facing change?
remove `sp_threshold` in additional config and reuse `sp_min_token_num`
from vLLM.


### How was this patch tested?
- Model: Qwen3-VL-30B-A3B, 
- TP4 DP2
- 100 reqs
- max concurrency 1

| Seq length | Mean TTFT (ms) main | Mean TTFT (ms) this PR |
|------------|---------------------|------------------------|
| 4k         | 429.40               | 323.3                  |
| 16k        | 1297.01              | 911.74                |

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: realliujiaxu <realliujiaxu@163.com>
2026-03-24 17:16:00 +08:00
Qiu
71df17f4e6 bugfix(MC2): refactor the comm group of MC2 to be compatible with PP (#7291)
### What this PR does / why we need it?
This PR refactors the communication group of MC2 to keep it consistent
with vllm's EP group, making it compatible with PP.

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: QiuChunshuo <qiuchunshuo@huawei.com>
2026-03-23 15:44:21 +08:00
Shanshan Shen
5c0d02f689 [Bugfix] Fix multi-instance serving OOM on single card (#7427)
### What this PR does / why we need it?
Fix https://github.com/vllm-project/vllm-ascend/issues/7308.

Subtracting `init_non_torch_memory` (maybe used by the first instance)
from the total `non_torch_memory` when calculating
`available_kv_cache_memory`.

Directly use `non_torch_memory_increase` (contained in
`non_kv_cache_memory`) to calculate `available_kv_cache_memory`.

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

### How was this patch tested?
Launch tow vllm-ascend instances sequentially on single card.

```bash
# Launch first instance
vllm serve /root/.cache/modelscope/hub/models/Qwen/Qwen3-0.6B \
--port 8100 \
--host 0.0.0.0 \
--additional-config='{"enable_cpu_binding":true}'  \
--gpu-memory-utilization 0.3 \
--max-num-seqs 1 \
--max-model-len 2048 \
--max-num-batched-tokens 2048 \
--no-enable-prefix-caching \
--enforce-eager

# Launch second instance
vllm serve /root/.cache/modelscope/hub/models/Qwen/Qwen3-0.6B \
--port 8101 \
--host 0.0.0.0 \
--additional-config='{"enable_cpu_binding":true}'  \
--gpu-memory-utilization 0.3 \
--max-num-seqs 1 \
--max-model-len 2048 \
--max-num-batched-tokens 2048 \
--no-enable-prefix-caching \
--enforce-eager
```

**Before this PR:**

```bash
# First instance:
------------------------------------------------------------------
requested_memory: 18.287109375 GiB
non_kv_cache_memory: 1.2340388298034668 GiB
init_non_torch_memory: 0.3616676330566406 GiB
non_torch_memory_before_empty_cache: 0.3896217346191406 GiB
non_torch_memory_increase: 0.0279541015625 GiB
non_torch_memory_cleared_by_empty_cache: 0.3616676330566406 GiB
------------------------------------------------------------------

# Second instance:
------------------------------------------------------------------
requested_memory: 18.287109375 GiB
non_kv_cache_memory: 1.2336344718933105 GiB
init_non_torch_memory: 18.37220001220703 GiB
non_torch_memory_before_empty_cache: 18.399906158447266 GiB
non_torch_memory_increase: 0.02754974365234375 GiB
non_torch_memory_cleared_by_empty_cache: 18.372356414794922 GiB
------------------------------------------------------------------
# available_kv_cache_memory = requested_memory - non_kv_cache_memory - non_torch_memory_cleared_by_empty_cache
Available KV cache memory: -1.32 GiB
```

**After this PR:**

```bash
# First instance:
------------------------------------------------------------------
requested_memory: 18.287109375 GiB
non_kv_cache_memory: 1.2340540885925293 GiB
init_non_torch_memory: 0.36182403564453125 GiB
non_torch_memory_before_empty_cache: 0.38979339599609375 GiB
non_torch_memory_increase: 0.0279693603515625 GiB
non_torch_memory_cleared_by_empty_cache: 0.0 GiB
------------------------------------------------------------------

# Second instance:
------------------------------------------------------------------
requested_memory: 18.287109375 GiB
non_kv_cache_memory: 1.233344554901123 GiB
init_non_torch_memory: 18.74309539794922 GiB
non_torch_memory_before_empty_cache: 18.770355224609375 GiB
non_torch_memory_increase: 0.02725982666015625 GiB
non_torch_memory_cleared_by_empty_cache: 0.0 GiB
------------------------------------------------------------------
# available_kv_cache_memory = requested_memory - non_kv_cache_memory - non_torch_memory_cleared_by_empty_cache
Available KV cache memory: 17.05 GiB
```

- vLLM version: v0.17.0
- vLLM main:
4497431df6

---------

Signed-off-by: shen-shanshan <467638484@qq.com>
Signed-off-by: Shanshan Shen <87969357+shen-shanshan@users.noreply.github.com>
2026-03-23 14:22:59 +08:00
Li Wang
75fae619d5 [Misc] Refactor aclgraph accuracy test to use logprob-based comparison (#7455)
### What this PR does / why we need it?

Replace text-match assertions with a two-tier logprob accuracy check:

- Prefill (token 0): assert token ID is identical between eager baseline
and compiled mode, then verify logprob matches within `atol`.
- Decode (tokens 1-2): if chosen tokens match, compare logprobs
directly; if they differ, cross-lookup the baseline token in the
compiled model's top-20 distribution and assert the assigned logprob is
within `decode_atol` (defaults to 2x atol). This tolerates minor argmax
drift caused by floating-point differences while still catching
distribution divergence.

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

### How was this patch tested?

- vLLM version: v0.17.0
- vLLM main:
8a680463fa

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-03-23 09:08:21 +08:00
vllm-ascend-ci
95e1dc11d8 [CI]: Auto-update estimated test times in config.yaml (#7413)
## Summary

This PR was auto-generated by the **Update estimated test times**
[workflow](https://github.com/vllm-project/vllm-ascend/actions/runs/23226502411).

It updates the `estimated_time` values in
`.github/workflows/scripts/config.yaml` based on actual elapsed times
collected from CI workflow runs.

### Methodology

- Each e2e test job uploads its elapsed time as a `timing-data-*`
artifact upon completion.
- The workflow aggregates all collected timing artifacts across jobs.
- For each test, the **median** elapsed time is computed to reduce
outlier impact.
- A **10% safety buffer** is applied and the result is rounded to the
nearest 10 seconds.

### Review Checklist

- [ ] Verify that updated `estimated_time` values are within a
reasonable range.
- [ ] Confirm no test entries are missing or unexpectedly removed.

> If the new values look reasonable, feel free to merge. Otherwise,
leave a comment describing the anomaly.
- vLLM version: v0.17.0
- vLLM main:
4497431df6

Signed-off-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
2026-03-19 19:01:16 +08:00
rjg-lyh
4d443b9228 [bugfix] restore pr-7029 and fix patch error (#7294)
### What this PR does / why we need it?
This PR restores #7029, which adds W8A8C8 support for dsv3.2/glm5 using
the `lightning_indexer_quant` ops in the pd-mix stage.

The original PR was reverted by #7288 because the patch did not work
with the recompute scheduler.

This PR also fixes the patching issue so that it works correctly with
the recompute scheduler.

### Does this PR introduce _any_ user-facing change?
Yes. To enable LI C8, users need to set the `enable_sparse_c8` option to
`"true"` in `additional_config`.

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: rjg-lyh <1318825571@qq.com>
2026-03-16 15:39:42 +08:00
zhaomingyu13
9320365dab [Test][Feature] Add e2e test for QuaRot model with eagle3 (#7128)
### What this PR does / why we need it?
Add an e2e test for QuaRot model with eagle3 that runs both the QuaRot
model and the float model, and then compares their acceptance rates. The
QuaRot model adapting eagle3 PR(#6914, #7038)

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

Signed-off-by: zhaomingyu <zhaomingyu13@h-partners.com>
2026-03-16 15:35:55 +08:00
pppeng
7e85f2ff97 [CI] Add test_qwen3_5.py (#7133)
### What this PR does / why we need it?
Add test_qwen3_5.py for base scenarios tp4 on Qwen3.5-27B and
Qwen3.5-35B-A3B.

- vLLM version: main
- vLLM main:
4034c3d32e
---------
Signed-off-by: pppeng <zepengliu912@qq.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
2026-03-15 22:19:02 +08:00
Mengqing Cao
0c299f79b9 Revert "[Perf][1/N] w8a8c8 support in dsv3.2/glm5 (#7029)" (#7288)
### What this PR does / why we need it?
This reverts commit 7ed9e9de69, which
introduces an issue that the patch doesn't work with recompute scheduler
enabled.
- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: MengqingCao <cmq0113@163.com>
2026-03-15 20:19:09 +08:00
yupeng
29f195a91c [Bugfix][LoRA] Fix the bug when runs Qwen3-Reranker-0.6B with LoRA. (#7156)
### What this PR does / why we need it?
Fix the error that reports while initializing qwen3-reranker-0.6b model
with `--enable-lora`.
And add a testcase to verify the fix.

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
---------
Signed-off-by: paulyu12 <507435917@qq.com>
Co-authored-by: Mengqing Cao <cmq0113@163.com>
2026-03-15 17:55:42 +08:00
rjg-lyh
7ed9e9de69 [Perf][1/N] w8a8c8 support in dsv3.2/glm5 (#7029)
### What this PR does / why we need it?
This PR supports W8A8C8 in dsv3.2/glm5 with lightning_indexer_quant ops
in pd-mix stage mainly.

Because the code for the current PD-disaggregated scenario is still
under refactoring and cleanup, this PR prioritizes ensuring the C8
functionality in the pd-mix scenario.

The next steps are planned in two parts:
① Once the optimized scatter operator is updated, we will replace the
original operator to improve the performance of storing k_scale.
② Once the code logic for the PD-disaggregated scenario becomes stable,
we will carry out more comprehensive validation and make appropriate
adaptations.
③ Because enabling C8 currently introduces several new operators whose
performance still needs improvement, performance may regress in some
scenarios. Therefore, only after all the operators are fully ready can
we ensure that this feature does not cause any performance degradation.
At that point, we will enable this feature by default and remove the
switch in `additional_config`.


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

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

- vLLM version: v0.16.0
- vLLM main:
4034c3d32e

---------

Signed-off-by: rjg-lyh <1318825571@qq.com>
2026-03-13 14:47:42 +08:00
yupeng
830f39dd70 [Bugfix][LoRA] Fix the issue when enable LoRA + tp + fully_sharded_loras (#6650)
### What this PR does / why we need it?
Fix the issue #6143 .

### Does this PR introduce _any_ user-facing change?
Allow to start the server with "--enable-lora && --fully-sharded-loras
&& --tensor_parallel_size 2".

### How was this patch tested?
pytest -sv tests/e2e/multicard/2-cards/test_llama32_lora_tp2.py
- vLLM version: v0.15.0
- vLLM main:
d7e17aaacd

---------

Signed-off-by: paulyu12 <507435917@qq.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-03-11 15:43:15 +08:00
realliujiaxu
5def28dcd3 [Feat]support sequence parallelism by pass for VL models (#5632) 2026-02-27 08:27:41 +08:00
Li-Yongwen
2870f7c8ad [Feat] Support routing replay (#6696)
### What this PR does / why we need it?

[Feat] Support routing replay
same as https://github.com/vllm-project/vllm-ascend/pull/6666
resubmit  because of DOC failure

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

### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
9562912cea

---------

Signed-off-by: liyongwen <1310439159@qq.com>
Signed-off-by: Li-Yongwen <63399187+Li-Yongwen@users.noreply.github.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-02-26 10:22:47 +08:00
bowenli
e3927cc8f5 [Bugfix] fix bug for mtp (#6514)
### What this PR does / why we need it?
fix(mtp): resolve MTP core bugs and enhance eager mode test cases
1. Resolved critical issues in eager mode MTP core execution logic;
2. Fixed functional bugs in the _update_states_after_model_execute
function;
3. Updated and released test_mtp_qwen3_next.py to validate eager mode
acceptance rate.
### Does this PR introduce _any_ user-facing change?
None
### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0

Signed-off-by: Bowen-Leee <caoshankuangren@gmail.com>
2026-02-25 17:50:57 +08:00
jiahao.quan
7221045777 [Attention] add gpt-oss support (#5901)
### What this PR does / why we need it?
Please refer to the following link for the historical conversation
https://github.com/vllm-project/vllm-ascend/pull/4467. We have made
updates in light of the comments from the prior PR review. Given the
refactoring of the attention_v1 component, we have carried out necessary
adjustments to fit the newly revised code.

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

1. Modified the code in the Attention section to adapt to the SWA and
Sink features required by gpt-oss.
2. Modified the code in the MoE section to add support for bias and
swigluoai.

### How was this patch tested?
Please refer to the
https://github.com/vllm-project/vllm-ascend/pull/4467 for performance
tests, on the basis of which the accuracy tests from AIME2024 have been
newly added.

![img_v3_02tu_501e88e3-2217-4565-8edf-b9acf4f43f2g](https://github.com/user-attachments/assets/024f8283-18ab-4d4d-ab12-27917b5d7d06)


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

---------

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
Signed-off-by: mikequan0425 <mikequan0425@foxmail.com>
Signed-off-by: hfadzxy <starmoon_zhang@163.com>
Signed-off-by: shenchuxiaofugui <1311027364@qq.com>
Signed-off-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
Signed-off-by: pu-zhe <zpuaa@outlook.com>
Signed-off-by: liziyu <liziyu16@huawei.com>
Signed-off-by: wangxiaoteng <wangxiaoteng@huawei.com>
Signed-off-by: luomin2005 <luomin2005@huawei.com>
Signed-off-by: whx-sjtu <2952154980@qq.com>
Signed-off-by: SlightwindSec <slightwindsec@gmail.com>
Signed-off-by: wxsIcey <1790571317@qq.com>
Signed-off-by: MrZ20 <2609716663@qq.com>
Co-authored-by: wangxiyuan <wangxiyuan1007@gmail.com>
Co-authored-by: leon_tao <taoyao2@huawei.com>
Co-authored-by: nurxat <738457498@qq.com>
Co-authored-by: hfadzxy <starmoon_zhang@163.com>
Co-authored-by: mikequan <199741451@qq.com>
Co-authored-by: LI SHENGYONG <49200266+shenchuxiaofugui@users.noreply.github.com>
Co-authored-by: jiangyunfan1 <jiangyunfan1@h-partners.com>
Co-authored-by: pu-zhe <zpuaa@outlook.com>
Co-authored-by: luomin2005 <luomin2005@huawei.com>
Co-authored-by: liziyu <56102866+liziyu179@users.noreply.github.com>
Co-authored-by: wangxiaoteng <wangxiaoteng@huawei.com>
Co-authored-by: whx <56632993+whx-sjtu@users.noreply.github.com>
Co-authored-by: Cao Yi <slightwindsec@gmail.com>
Co-authored-by: Icey <1790571317@qq.com>
Co-authored-by: SILONG ZENG <2609716663@qq.com>
2026-02-12 10:55:34 +08:00
wangyu
c63b7a1188 [Test] Add initial multi modal cases of Qwen2.5-VL-7B-Instruct for disaggregated encoder (#5301)
### What this PR does / why we need it?
This PR adds disaggregated encoder  tests for Qwen2.5-VL-7B-Instruct 
### Does this PR introduce _any_ user-facing change?
No
### How was this patch tested?
by running the test
by running ci

- vLLM version: release/v0.12.0

---------

Signed-off-by: wangyu31577 <wangyu31577@hundsun.com>
Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com>
Co-authored-by: wangyu31577 <wangyu31577@hundsun.com>
2026-02-06 17:30:17 +08:00
Feng Liu
03a18ad6fd [E2E] add E2E for Prefix Caching cp & Chunked Prefill cp (#5149)
### What this PR does / why we need it?
Add E2E for Prefix Caching cp & Chunked Prefill cp 
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?

- vLLM version: v0.15.0
- vLLM main:
ad32e3e19c

---------

Signed-off-by: F.Liu <liufeng248@huawei.com>
Signed-off-by: Feng Liu <46866849+ader47@users.noreply.github.com>
Co-authored-by: F.Liu <liufeng248@huawei.com>
2026-02-03 15:04:14 +08:00
wangxiyuan
b4aafd4293 [Core][Misc] Clean up ProfileExecuteDuration (#6461)
### What this PR does / why we need it?
This PR removes the custom `ProfileExecuteDuration` utility and its
usages across the codebase. This utility was used for profiling
execution duration of different stages in the inference process. It is
replaced by the standard `vllm.v1.utils.record_function_or_nullcontext`,
which integrates with PyTorch's profiler.

This change simplifies the code by removing a custom implementation in
favor of an upstream utility, improving maintainability. Associated
documentation and tests for `ProfileExecuteDuration` are also removed.

### Does this PR introduce _any_ user-facing change?
`VLLM_ASCEND_MODEL_EXECUTE_TIME_OBSERVE` env is removed now.

### How was this patch tested?
CI passed. The changes are a cleanup and replacement with a standard
utility. Existing tests cover the functionality. The removed feature had
its own tests which are also removed.

Related RFC: #5304

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
2026-02-01 20:06:01 +08:00
CodeCat
b2857de43f [ST]Add e2e test for Npugraphex_pass (#6388)
### What this PR does / why we need it?
We found the custom passes of NPUGraphEX have implemented fusion
operator features, which still require E2E test case validation and
guard. This PR implements E2E test cases for the AddRMSNormQuant and
SplitQKVNormRope operator fusions under NPUGraphEX that are already in
the codebase.
### Does this PR introduce _any_ user-facing change?
NO
### How was this patch tested?

- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

---------

Signed-off-by: cjian <2318164299@qq.com>
2026-01-30 09:14:07 +08:00
wjunLu
4970de4242 [CI] Enable the skipped cases when HDK is upgraded to 25.5.0 (#6195)
### What this PR does / why we need it?
Enable the tests that were skipped due to an outdated driver version:
- tests/e2e/multicard/4-cards/long_sequence/test_accuracy.py
- tests/e2e/multicard/4-cards/long_sequence/test_basic.py
- tests/e2e/multicard/4-cards/long_sequence/test_chunked_prefill.py

and some cases in
- tests/e2e/multicard/2-cards/spec_decode/test_spec_decode.py
- tests/e2e/multicard/2-cards/test_external_launcher.py
- tests/e2e/multicard/2-cards/test_offline_weight_load.py
- tests/e2e/multicard/2-cards/test_quantization.py
- tests/e2e/multicard/4-cards/test_data_parallel_tp2.py

TODO:
- tests/e2e/multicard/4-cards/spec_decode/test_mtp_qwen3_next.py
- tests/e2e/multicard/4-cards/long_sequence/test_mtp.py
### Does this PR introduce _any_ user-facing change?

### How was this patch tested?

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

Signed-off-by: wjunLu <wjunlu217@gmail.com>
2026-01-29 22:41:41 +08:00
Li Wang
e35f304419 [CI] Auto partition for test cases (#6379)
### What this PR does / why we need it?
This patch add auto-partition feat for tests, for example, before this
pr, we are running e2e single card test for 2h40min, after the auto
partition, test case is automatically allocated into the required n
parts based on its test duration (greedy strategy) and run in parallel.
The advantage of doing this is that our overall test duration will
become 1/n of the original.

### Does this PR introduce _any_ user-facing change?
Before:
e2e single card test spend 2h40min
After:
e2e single card test spend 1h13min

### How was this patch tested?

```shell
python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 0 
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=0, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite          | Partition          |
|----------------+--------------------|
| e2e-singlecard | 1/2 (0-based id=0) |
+----------------+--------------------+
 Enabled 13 test(s) (est total 4020.0s):
  - tests/e2e/singlecard/spec_decode/test_v1_spec_decode.py (est_time=1800)
  - tests/e2e/singlecard/test_aclgraph_accuracy.py (est_time=480)
  - tests/e2e/singlecard/test_guided_decoding.py (est_time=354)
  - tests/e2e/singlecard/test_batch_invariant.py (est_time=320)
  - tests/e2e/singlecard/pooling/test_embedding.py (est_time=270)
  - tests/e2e/singlecard/test_quantization.py (est_time=200)
  - tests/e2e/singlecard/test_llama32_lora.py (est_time=162)
  - tests/e2e/singlecard/test_cpu_offloading.py (est_time=132)
  - tests/e2e/singlecard/pooling/test_classification.py (est_time=120)
  - tests/e2e/singlecard/test_camem.py (est_time=77)
  - tests/e2e/singlecard/compile/test_norm_quant_fusion.py (est_time=70)
  - tests/e2e/singlecard/test_auto_fit_max_mode_len.py (est_time=25)
  - tests/e2e/singlecard/test_profile_execute_duration.py (est_time=10)

(base) wangli@Mac-mini vllm-ascend % python .github/workflows/scripts/run_suite.py --auto-partition-size 2 --auto-partition-id 1 
args=Namespace(timeout_per_file=2000, suite='e2e-singlecard', auto_partition_id=1, auto_partition_size=2, continue_on_error=False, enable_retry=False, max_attempts=2, retry_wait_seconds=60, retry_timeout_increase=600)
+----------------+--------------------+
| Suite          | Partition          |
|----------------+--------------------|
| e2e-singlecard | 2/2 (0-based id=1) |
+----------------+--------------------+
 Enabled 13 test(s) (est total 4025.0s):
  - tests/e2e/singlecard/spec_decode/test_mtp_eagle_correctness.py (est_time=1500)
  - tests/e2e/singlecard/pooling/test_scoring.py (est_time=500)
  - tests/e2e/singlecard/test_aclgraph_batch_invariant.py (est_time=410)
  - tests/e2e/singlecard/test_vlm.py (est_time=354)
  - tests/e2e/singlecard/test_models.py (est_time=300)
  - tests/e2e/singlecard/test_multistream_overlap_shared_expert.py (est_time=200)
  - tests/e2e/singlecard/test_sampler.py (est_time=200)
  - tests/e2e/singlecard/test_async_scheduling.py (est_time=150)
  - tests/e2e/singlecard/test_aclgraph_mem.py (est_time=130)
  - tests/e2e/singlecard/test_ilama_lora.py (est_time=95)
  - tests/e2e/singlecard/test_completion_with_prompt_embeds.py (est_time=76)
  - tests/e2e/singlecard/test_qwen3_multi_loras.py (est_time=65)
  - tests/e2e/singlecard/test_xlite.py (est_time=45)
```
- vLLM version: v0.14.1
- vLLM main:
dc917cceb8

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2026-01-29 20:28:10 +08:00