EngineX/xc-llm-ascend
3
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

[ReleaseNote] Add release note for v0.17.0rc1 (#7240)

Browse Source 
### What this PR does / why we need it?
This pull request adds the release notes for `v0.17.0rc1`. It also
updates version numbers across various documentation files, including
`README.md`, `README.zh.md`,
`docs/source/community/versioning_policy.md`, and `docs/source/conf.py`
to reflect the new release.

- vLLM version: v0.17.0
- vLLM main:
4034c3d32e
This commit is contained in:
Mengqing Cao
2026-03-15 22:47:47 +08:00
committed by GitHub
parent 7e85f2ff97
commit e20f0b1a0d
8 changed files with 69 additions and 14 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
docs/source/community/versioning_policy.md
View File

@@ -23,7 +23,8 @@ The table below is the release compatibility matrix for vLLM Ascend release.
| vLLM Ascend | vLLM | Python | Stable CANN | PyTorch/torch_npu | Triton Ascend |
|-------------|-------------------|-----------------|-------------|---------------------------------|---------------|
| v0.16.0rc1 | v0.16.0 | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.9.0 | 3.2.0 |
| v0.17.0rc1 | v0.17.0 | >= 3.10, < 3.12 | 8.5.1 | 2.9.0 / 2.9.0 | 3.2.0 |
| v0.16.0rc1 | v0.16.0 | >= 3.10, < 3.12 | 8.5.1 | 2.9.0 / 2.9.0 | 3.2.0 |
| v0.15.0rc1 | v0.15.0 | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.9.0 | 3.2.0 |
| v0.14.0rc1 | v0.14.1 | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.9.0 | 3.2.0 |
| v0.13.0 | v0.13.0 | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.8.0.post2 | 3.2.0 |
@@ -58,7 +59,7 @@ For main branch of vLLM Ascend, we usually make it compatible with the latest vL
| vLLM Ascend | vLLM | Python | Stable CANN | PyTorch/torch_npu |
|-------------|--------------|------------------|-------------|--------------------|
| main | 4034c3d32e30d01639459edd3ab486f56993876d, v0.16.0 tag | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.9.0 |
| main | 4034c3d32e30d01639459edd3ab486f56993876d, v0.17.0 tag | >= 3.10, < 3.12 | 8.5.0 | 2.9.0 / 2.9.0 |
## Release cadence
@@ -66,6 +67,7 @@ For main branch of vLLM Ascend, we usually make it compatible with the latest vL
| Date | Event |
|------------|-------------------------------------------|
| 2026.03.15 | Release candidates, v0.17.0rc1 |
| 2026.03.10 | Release candidates, v0.16.0rc1 |
| 2026.02.27 | Release candidates, v0.15.0rc1 |
| 2026.02.06 | v0.13.0 Final release, v0.13.0 |

8
docs/source/conf.py
View File

@@ -65,15 +65,15 @@ myst_substitutions = {
# the branch of vllm, used in vllm clone
# - main branch: 'main'
# - vX.Y.Z branch: 'vX.Y.Z'
"vllm_version": "v0.16.0",
"vllm_version": "v0.17.0",
# the branch of vllm-ascend, used in vllm-ascend clone and image tag
# - main branch: 'main'
# - vX.Y.Z branch: latest vllm-ascend release tag
"vllm_ascend_version": "v0.16.0rc1",
"vllm_ascend_version": "v0.17.0rc1",
# the newest release version of vllm-ascend and matched vLLM, used in pip install.
# This value should be updated when cut down release.
"pip_vllm_ascend_version": "0.16.0rc1",
"pip_vllm_version": "0.16.0",
"pip_vllm_ascend_version": "0.17.0rc1",
"pip_vllm_version": "0.17.0",
# CANN image tag
"cann_image_tag": "8.5.1-910b-ubuntu22.04-py3.11",
# vllm version in ci

3
docs/source/faqs.md
View File

@@ -2,8 +2,7 @@
## Version Specific FAQs
- [[v0.16.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6969)
- [[v0.15.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6838)
- [[v0.17.0rc1] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/7173)
- [[v0.13.0] FAQ & Feedback](https://github.com/vllm-project/vllm-ascend/issues/6583)
## General FAQs

55
docs/source/user_guide/release_notes.md
View File

@@ -1,5 +1,58 @@
# Release Notes
## v0.17.0rc1 - 2026.03.15
This is the first release candidate of v0.17.0 for vLLM Ascend. Please follow the [official doc](https://docs.vllm.ai/projects/ascend/en/latest) to get started.
### Highlights
- Ascend950 chip is now supported. [#7151](https://github.com/vllm-project/vllm-ascend/pull/7151)
- ACLGraph (graph mode) is now supported for Model Runner V2. [#7110](https://github.com/vllm-project/vllm-ascend/pull/7110)
- Unified parallelized speculative decoding is supported, enabling parallel draft inference schemes simultaneously. [#6766](https://github.com/vllm-project/vllm-ascend/pull/6766)
### Features
- Auto-detect quantization format from model files, and remote model IDs (e.g., `org/model-name`) are also supported. `--quantization ascend` is not required now. [#7111](https://github.com/vllm-project/vllm-ascend/pull/7111)
- Qwen3.5 is supported from this version on.
- FlashLB algorithm for EPLB: supports per-step heat collection and multi-stage load balancing for better expert parallelism efficiency. [#6477](https://github.com/vllm-project/vllm-ascend/pull/6477)
- LoRA with tensor parallel and `--fully-sharded-loras` is now fixed and working. [#6650](https://github.com/vllm-project/vllm-ascend/pull/6650)
- LMCacheAscendConnector is added as a new KV cache pooling solution for Ascend. [#6882](https://github.com/vllm-project/vllm-ascend/pull/6882)
- W8A8C8 quantization is now supported for DeepSeek-V3.2 and GLM5 in PD-mix scenario. [#7029](https://github.com/vllm-project/vllm-ascend/pull/7029)
- [Experimental] Minimax-m2.5 model is now supported on Ascend NPU. [#7105](https://github.com/vllm-project/vllm-ascend/pull/7105)
- [Experimental] Mooncake Layerwise Connector now supports hybrid attention manager with multiple KV cache groups. [#7022](https://github.com/vllm-project/vllm-ascend/pull/7022)
- [Experimental] Prefix cache is now supported in hybrid model. [#7103](https://github.com/vllm-project/vllm-ascend/pull/7103)
### Performance
- Pipeline Parallel now supports async scheduling, improving throughput for PP deployments. [#7136](https://github.com/vllm-project/vllm-ascend/pull/7136)
- Improved TTFT when using Mooncake connector by reducing log overhead. [#6125](https://github.com/vllm-project/vllm-ascend/pull/6125)
- KV Pool lookup is optimized for short sequences (token length < block_size). [#7146](https://github.com/vllm-project/vllm-ascend/pull/7146)
- Fix penalty ops in Model Runner V2, achieving ~10% performance improvement. [#7013](https://github.com/vllm-project/vllm-ascend/pull/7013)
### Documentation
- Added EPD (Encode-Prefill-Decode) documentation and load-balance proxy example. [#6221](https://github.com/vllm-project/vllm-ascend/pull/6221)
- Added Ascend PyTorch Profiler usage guide. [#7117](https://github.com/vllm-project/vllm-ascend/pull/7117)
- Fixed DSV3.1 PD configuration documentation. [#7187](https://github.com/vllm-project/vllm-ascend/pull/7187)
### Others
- Fix drafter crash in full graph mode for speculative decoding. [#7158](https://github.com/vllm-project/vllm-ascend/pull/7158) [#7148](https://github.com/vllm-project/vllm-ascend/pull/7148)
- Fix GLM5-W8A8 precision issues caused by rotary quant MTP weights. [#7139](https://github.com/vllm-project/vllm-ascend/pull/7139)
- Fix ngram graph replay accuracy error on 310P. [#7134](https://github.com/vllm-project/vllm-ascend/pull/7134)
- Fix FIA pad logic in graph mode after upstream vLLM change. [#7144](https://github.com/vllm-project/vllm-ascend/pull/7144)
- Fix a precision issue caused by wrong KV cache reshape on Qwen3.5. [#7209](https://github.com/vllm-project/vllm-ascend/pull/7209)
- Fix extra processes spawned on rank0 device. [#7107](https://github.com/vllm-project/vllm-ascend/pull/7107)
- Graph capture failures now properly raise exceptions for easier debugging. [#5644](https://github.com/vllm-project/vllm-ascend/pull/5644)
- Fix Qwen3.5 model by replacing torch_npu.npu_recurrent_gated_delta_rule by fused_recurrent_gated_delta_rule. [#7109](https://github.com/vllm-project/vllm-ascend/pull/7109)
- Fix the bug when running Qwen3-Reranker-0.6B with LoRA. [#7156](https://github.com/vllm-project/vllm-ascend/pull/7156)
### Known Issue
- GLM5 requires transformers==5.2.0, and this will resolved by [vllm-project/vllm#30566](https://github.com/vllm-project/vllm/pull/30566), will not included in v0.17.0.
- There is a precision issue with Qwen3-Next due to the changed tp weight split method. Will fix it in next release.
- The minimum number of tokens of prefix cache hit in hybrid model is 2k now
## v0.16.0rc1 - 2026.03.09
This is the first release candidate of v0.16.0 for vLLM Ascend. Please follow the [official doc](https://docs.vllm.ai/projects/ascend/en/latest) to get started.
@@ -42,7 +95,7 @@ This is the first release candidate of v0.16.0 for vLLM Ascend. Please follow th
### Deprecation & Breaking Changes
- `enable_flash_comm_v1` config option has been renamed back to `enable_sp`. [#6883](https://github.com/vllm-project/vllm-ascend/pull/6883)
- The auto-detect quantization format from model files is reverted, in v0.16.0rc1, we still need to add `---quantization ascend` to serve a model quantinized by modelslim. It will be added back in the next version after the bug with the remote model id is fixed. [#6873](https://github.com/vllm-project/vllm-ascend/pull/6873)
- The auto-detect quantization format from model files is reverted, in v0.16.0rc1, we still need to add `--quantization ascend` to serve a model quantinized by modelslim. It will be added back in the next version after the bug with the remote model id is fixed. [#6873](https://github.com/vllm-project/vllm-ascend/pull/6873)
### Documentation