### What this PR does / why we need it?
Main updates include:
- update model IDs and default model paths in serving / offline
inference examples
- adjust some command snippets and notes for better copy-paste usability
- replace `SamplingParams` argument usage from `max_completion_tokens`
to `max_tokens`（**Offline** inference currently **does not support** the
"max_completion_tokens"）
``` bash
Traceback (most recent call last):
File "/vllm-workspace/vllm-ascend/qwen-next.py", line 18, in <module>
sampling_params = SamplingParams(temperature=0.6, top_p=0.95, top_k=40, max_completion_tokens=32)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Unexpected keyword argument 'max_completion_tokens'
[ERROR] 2026-03-17-09:57:40 (PID:276, Device:-1, RankID:-1) ERR99999 UNKNOWN applicaiton exception
```
- refresh **Qwen3-Omni-30B-A3B-Thinking** recommended environment
variable
``` bash
export HCCL_BUFFSIZE=512
export HCCL_OP_EXPANSION_MODE=AIV
```
``` bash
EZ9999[PID: 25038] 2026-03-17-08:21:12.001.372 (EZ9999): HCCL_BUFFSIZE is too SMALL, maxBs = 256, h = 2048,
epWorldSize = 2, localMoeExpertNum = 64, sharedExpertNum = 0, tokenNeedSizeDispatch = 4608, tokenNeedSizeCombine
= 4096, k = 8, NEEDED_HCCL_BUFFSIZE(((maxBs * tokenNeedSizeDispatch * ep_worldsize * localMoeExpertNum) +
(maxBs * tokenNeedSizeCombine * (k + sharedExpertNum))) * 2) = 305MB, HCCL_BUFFSIZE=200MB.
[FUNC:CheckWinSize][FILE:moe_distribute_dispatch_v2_tiling.cpp][LINE:984]
```
- fix **Qwen3-reranker** example usage to match the current **pooling
runner** interface and score output access
``` python
model = LLM(
model=model_name,
task="score", # need fix
hf_overrides={
"architectures": ["Qwen3ForSequenceClassification"],
"classifier_from_token": ["no", "yes"],
```
--->
``` python
model = LLM(
model=model_name,
runner="pooling",
hf_overrides={
"architectures": ["Qwen3ForSequenceClassification"],
"classifier_from_token": ["no", "yes"],
```
- modify **PaddleOCR-VL** parameter `TASK_QUEUE_ENABLE` from `2` to `1`
``` bash
(EngineCore_DP0 pid=26273) RuntimeError: NPUModelRunner init failed, error is NPUModelRunner failed, error
is Do not support TASK_QUEUE_ENABLE = 2 during NPU graph capture, please export TASK_QUEUE_ENABLE=1/0.
```
These changes are needed because several documentation examples had
drifted from the current runtime behavior and recommended invocation
patterns, which could confuse users when following the tutorials
directly.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
- vLLM version: v0.17.0
- vLLM main:
4497431df6
Signed-off-by: MrZ20 <2609716663@qq.com>
### What this PR does / why we need it?
Revise the KV Pool user guide:
1. Revise Mooncake environment variables and kvconnector extra configs.
2. Delete `use_ascend_direct` in kv connector extra config as it is
deprecated
3. Delete `kv_buffer_device` and `kv_rank` in P2P mooncake config
4. Unifies default `max-model-len` and `max-num-batch-tokens` in
examples given.
### Does this PR introduce _any_ user-facing change?
### How was this patch tested?
- vLLM version: v0.17.0
- vLLM main:
4497431df6
---------
Signed-off-by: Pz1116 <zpbzpb123123@gmail.com>
Co-authored-by: Chao Lei <leichao139636@163.com>
### What this PR does / why we need it?
Updated the DSV32 document.
1. Changed the PD separation boot mode to layerwise.
2. Changed max-num-batched-tokens to a multiple of the TP to avoid
triggering a verification error.
3. Added a link to help users adjust the configuration.
- vLLM version: v0.17.0
- vLLM main:
4497431df6
Signed-off-by: wyh145 <1987244901@qq.com>
## What this PR does / why we need it?
This PR updates the DeepSeek-V3.2 documentation to include the latest
performance optimizations and configuration improvements.
### Changes
- **Enable FlashComm1**: Added `VLLM_ASCEND_ENABLE_FLASHCOMM1=1`
environment variable across all deployment scenarios to enable
FlashComm1 for improved communication performance
- **Layer Sharding**: Added `--additional-config '{"layer_sharding":
["q_b_proj", "o_proj"]}'` configuration to enable layer sharding for
better memory distribution
- **CUDA Graph Optimization**: Updated cudagraph capture sizes from
`[3,6,9,12,15,18,21,24,27,30,33,36,39,42,45,48]` to `[8, 16, 24, 32, 40,
48]`
- **Speculative Decoding**: Increased `num_speculative_tokens` from 2 to
3
- **Documentation Links**: Fixed request forwarding documentation to use
proper GitHub repository links
## Does this PR introduce _any_ user-facing change?
Yes, users can now follow the updated documentation to enable FlashComm1
and layer sharding for improved DeepSeek-V3.2 performance.
## How was this patch tested?
Existing documentation examples have been validated to ensure
configuration consistency across all deployment scenarios.
---
- vLLM version: v0.15.0
- vLLM main:
83b47f67b1
Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
### What this PR does / why we need it?
- New section: "Request Forwarding" documentation in
docs/source/tutorials/models/DeepSeek-V3.2.md
- Environment fix: Changed VLLM_ASCEND_ENABLE_FLASHCOMM1 from 0 to 1 in
the DeepSeek-V3 configuration examples
### Does this PR introduce _any_ user-facing change?
Documentation update only - provides new configuration guidance for
request forwarding setups
### How was this patch tested?
- vLLM version: v0.15.0
- vLLM main:
9562912cea
---------
Signed-off-by: guozr <guozr1997@hotmail.com>
Co-authored-by: guozr <guozr1997@hotmail.com>
### What this PR does / why we need it?
This PR refactors the tutorial documentation by restructuring it into
three categories: Models, Features, and Hardware. This improves the
organization and navigation of the tutorials, making it easier for users
to find relevant information.
- The single `tutorials/index.md` is split into three separate index
files:
- `docs/source/tutorials/models/index.md`
- `docs/source/tutorials/features/index.md`
- `docs/source/tutorials/hardwares/index.md`
- Existing tutorial markdown files have been moved into their respective
new subdirectories (`models/`, `features/`, `hardwares/`).
- The main `index.md` has been updated to link to these new tutorial
sections.
This change makes the documentation structure more logical and scalable
for future additions.
### Does this PR introduce _any_ user-facing change?
Yes, this PR changes the structure and URLs of the tutorial
documentation pages. Users following old links to tutorials will
encounter broken links. It is recommended to set up redirects if the
documentation framework supports them.
### How was this patch tested?
These are documentation-only changes. The documentation should be built
and reviewed locally to ensure all links are correct and the pages
render as expected.
- vLLM version: v0.15.0
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.15.0
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
