There is a lot hack code for v0.11.0, which makes the code hard to
upgrade to newer vLLM version. Since v0.11.0 will release soon. Let's
drop v0.11.0 support first. Then we'll upgrade to v0.11.2 soon.
- vLLM version: v0.11.0
- vLLM main:
2918c1b49c
Signed-off-by: wangxiyuan <wangxiyuan1007@gmail.com>
### What this PR does / why we need it?
This pr is for https://github.com/vllm-project/vllm-ascend/issues/3241 ,
which is in-house solution for offloading KV cache data from the GPU
memory to other medium (in particular, CPU memory)。Previous solutions
required reliance on third-party components, which had issues with
compatibility between different versions.
### How was this patch tested?
use the following script for testing:
export CUDA_VISIBLE_DEVICES=0
export TP=1
export MODEL_PATH=/model/Qwen3-14B
export MODEL_NAME=Qwen3-14B
export PORT=10000
#export ASCEND_LAUNCH_BLOCKING=1
#export ASCEND_SLOG_PRINT_TO_STDOUT=1
python3 -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --port
${PORT} --dtype bfloat16 --model ${MODEL_PATH} --served-model-name
${MODEL_NAME} --tensor-parallel-size ${TP} --gpu-memory-utilization 0.7
--max-model-len 32768 --trust-remote-code --disable-log-requests \
--block-size 128 \
--kv-transfer-config
'{"kv_connector":"OffloadingConnector","kv_role":"kv_both","kv_connector_extra_config":{"block_size":
128, "num_cpu_blocks": 1000, "spec_name":"NPUOffloadingSpec",
"spec_module_path": "vllm_ascend.kv_offload.npu"}}'
- vLLM version: v0.11.0rc3
- vLLM main: https://github.com/vllm-project/vllm/commit/v0.11.0
---------
Signed-off-by: HF-001 <1670186653@qq.com>
