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xc-llm-ascend/vllm_ascend
lty 33b8ca4e96 [Feature]KV pool supports sparse attention (#6339)
### What this PR does / why we need it?
The kv pooling feature is adapted to Sparse Attention to support models
such as Deepseek V3.2.

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

### How was this patch tested?
```
vllm serve /mnt/weight/DeepSeek-V3.2-Exp-W8A8 \
  --host $local_ip \
  --port 8002 \
  --served-model-name model \
  --data-parallel-size 1 \
  --tensor-parallel-size 8 \
  --prefill-context-parallel-size 2 \
  --decode-context-parallel-size 1 \
  --cp-kv-cache-interleave-size 128 \
  --block-size 128 \
  --enable-expert-parallel \
  --no-enable-prefix-caching \
  --no-enable-chunked-prefill \
  --max-num-seqs 4 \
  --max-model-len 8192 \
  --max-num-batched-tokens 8192 \
  --gpu-memory-utilization 0.95 \
  --trust-remote-code \
  --enforce-eager \
  --quantization ascend \
  --additional_config '{"ascend_scheduler_config":{"enabled":false}}' \
  --kv-transfer-config \
    '{
            "kv_connector": "AscendStoreConnector",
            "kv_role": "kv_both",
            "kv_connector_extra_config": {
	            "backend": "mooncake",
              "lookup_rpc_port":"0",
              "use_layerwise": false
            }
    }'
```

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

Signed-off-by: lty <linhebiwen@gmail.com>
2026-02-05 10:36:52 +08:00
..
2026-01-22 15:46:59 +08:00
2026-02-03 14:13:06 +08:00