[Doc] Update support feature (#1828)

The feature support matrix is out of date. This PR refresh the content.

- vLLM version: v0.9.2
- vLLM main:
107111a859

Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
This commit is contained in:
wangxiyuan
2025-07-23 15:19:15 +08:00
committed by GitHub
parent 3aa3b46bfe
commit 326dcf2576
2 changed files with 30 additions and 26 deletions

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@@ -4,37 +4,37 @@ The feature support principle of vLLM Ascend is: **aligned with the vLLM**. We a
You can check the [support status of vLLM V1 Engine][v1_user_guide]. Below is the feature support status of vLLM Ascend:
| Feature | vLLM V0 Engine | vLLM V1 Engine | Next Step |
|-------------------------------|----------------|----------------|------------------------------------------------------------------------|
| Chunked Prefill | 🟢 Functional | 🟢 Functional | Functional, see detail note: [Chunked Prefill][cp] |
| Automatic Prefix Caching | 🟢 Functional | 🟢 Functional | Functional, see detail note: [vllm-ascend#732][apc] |
| LoRA | 🟢 Functional | 🟢 Functional | [vllm-ascend#396][multilora], [vllm-ascend#893][v1 multilora] |
| Prompt adapter | 🔴 No plan | 🔴 No plan | This feature has been deprecated by vllm. |
| Speculative decoding | 🟢 Functional | 🟢 Functional | Basic support |
| Pooling | 🟢 Functional | 🟡 Planned | CI needed and adapting more models; V1 support rely on vLLM support. |
| Enc-dec | 🔴 NO plan | 🟡 Planned | Plan in 2025.06.30 |
| Multi Modality | 🟢 Functional | 🟢 Functional | [Tutorial][multimodal], optimizing and adapting more models |
| LogProbs | 🟢 Functional | 🟢 Functional | CI needed |
| Prompt logProbs | 🟢 Functional | 🟢 Functional | CI needed |
| Async output | 🟢 Functional | 🟢 Functional | CI needed |
| Multi step scheduler | 🟢 Functional | 🔴 Deprecated | [vllm#8779][v1_rfc], replaced by [vLLM V1 Scheduler][v1_scheduler] |
| Best of | 🟢 Functional | 🔴 Deprecated | [vllm#13361][best_of], CI needed |
| Beam search | 🟢 Functional | 🟢 Functional | CI needed |
| Guided Decoding | 🟢 Functional | 🟢 Functional | [vllm-ascend#177][guided_decoding] |
| Tensor Parallel | 🟢 Functional | 🟢 Functional | CI needed |
| Pipeline Parallel | 🟢 Functional | 🟢 Functional | CI needed |
| Expert Parallel | 🔴 NO plan | 🟢 Functional | CI needed; No plan on V0 support |
| Data Parallel | 🔴 NO plan | 🟢 Functional | CI needed; No plan on V0 support |
| Prefill Decode Disaggregation | 🟢 Functional | 🟢 Functional | 1P1D available, working on xPyD and V1 support. |
| Quantization | 🟢 Functional | 🟢 Functional | W8A8 available, CI needed; working on more quantization method support |
| Graph Mode | 🔴 NO plan | 🔵 Experimental| Experimental, see detail note: [vllm-ascend#767][graph_mode] |
| Sleep Mode | 🟢 Functional | 🟢 Functional | level=1 available, CI needed, working on V1 support |
| Feature | Status | Next Step |
|-------------------------------|----------------|------------------------------------------------------------------------|
| Chunked Prefill | 🟢 Functional | Functional, see detail note: [Chunked Prefill][cp] |
| Automatic Prefix Caching | 🟢 Functional | Functional, see detail note: [vllm-ascend#732][apc] |
| LoRA | 🟢 Functional | [vllm-ascend#396][multilora], [vllm-ascend#893][v1 multilora] |
| Prompt adapter | 🔴 No plan | This feature has been deprecated by vLLM. |
| Speculative decoding | 🟢 Functional | Basic support |
| Pooling | 🟢 Functional | CI needed and adapting more models; V1 support rely on vLLM support. |
| Enc-dec | 🟡 Planned | vLLM should support this feature first. |
| Multi Modality | 🟢 Functional | [Tutorial][multimodal], optimizing and adapting more models |
| LogProbs | 🟢 Functional | CI needed |
| Prompt logProbs | 🟢 Functional | CI needed |
| Async output | 🟢 Functional | CI needed |
| Multi step scheduler | 🔴 Deprecated | [vllm#8779][v1_rfc], replaced by [vLLM V1 Scheduler][v1_scheduler] |
| Best of | 🔴 Deprecated | [vllm#13361][best_of] |
| Beam search | 🟢 Functional | CI needed |
| Guided Decoding | 🟢 Functional | [vllm-ascend#177][guided_decoding] |
| Tensor Parallel | 🟢 Functional | Make TP >4 work with graph mode |
| Pipeline Parallel | 🟢 Functional | Write official guide and tutorial. |
| Expert Parallel | 🟢 Functional | Dynamic EPLB support. |
| Data Parallel | 🟢 Functional | Data Parallel support for Qwen3 MoE. |
| Prefill Decode Disaggregation | 🚧 WIP | working on [1P1D] and xPyD. |
| Quantization | 🟢 Functional | W8A8 available; working on more quantization method support(W4A8, etc) |
| Graph Mode | 🔵 Experimental| Experimental, see detail note: [vllm-ascend#767][graph_mode] |
| Sleep Mode | 🟢 Functional | |
- 🟢 Functional: Fully operational, with ongoing optimizations.
- 🔵 Experimental: Experimental support, interfaces and functions may change.
- 🚧 WIP: Under active development, will be supported soon.
- 🟡 Planned: Scheduled for future implementation (some may have open PRs/RFCs).
- 🔴 NO plan / Deprecated: No plan for V0 or deprecated by vLLM v1.
- 🔴 NO plan / Deprecated: No plan or deprecated by vLLM.
[v1_user_guide]: https://docs.vllm.ai/en/latest/getting_started/v1_user_guide.html
[multimodal]: https://vllm-ascend.readthedocs.io/en/latest/tutorials/single_npu_multimodal.html
@@ -47,3 +47,5 @@ You can check the [support status of vLLM V1 Engine][v1_user_guide]. Below is th
[graph_mode]: https://github.com/vllm-project/vllm-ascend/issues/767
[apc]: https://github.com/vllm-project/vllm-ascend/issues/732
[cp]: https://docs.vllm.ai/en/stable/performance/optimization.html#chunked-prefill
[1P1D]: https://github.com/vllm-project/vllm-ascend/pull/950
[ray]: https://github.com/vllm-project/vllm-ascend/issues/1751

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@@ -1,5 +1,7 @@
# Model Support
Get the newest info here: https://github.com/vllm-project/vllm-ascend/issues/1608
## Text-only Language Models
### Generative Models