Specify the local folder you have the model in instead of a HF model ID. If you have all the necessary files and the model is using a supported architecture, then it will work. To serve vLLM API: #!/bin/bashMODEL_NAME="$1"test-n"$MODEL_NAME"MODEL_DIR="$HOME/models/$MODEL_NAME...
vLLM(Vectorized Large Language Model)作为一种先进的大模型推理加速框架,凭借其高性能和灵活性,在人工智能领域备受关注。本文将详细解析vLLM引擎的核心参数,帮助读者更好地理解并优化模型部署过程。 基本模型与Tokenizer参数 模型名称与路径 (--model <model_name_or_path>) 指定要使用的Hugging Face模型的名字或路径。
还有一个load之后报TypeError的问题 [rank0]: File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/deepseek_v3.py", line 472, in forward [rank0]: kv_c, k_pe = self.kv_a_proj_with_mqa(hidden_states)[0].split( [rank0]: File "/usr/local/lib/python3.10/dist-pa...
classQwen2Model():defload_weights(self,weights):stacked_params_mapping=[# (param_name, shard_name, shard_id)("qkv_proj","q_proj","q"),("qkv_proj","k_proj","k"),("qkv_proj","v_proj","v"),("gate_up_proj","gate_proj",0),("gate_up_proj","up_proj",1),]params_dict...
如果使用Hugging Face下载模型存在网络问题,可以使用modelscope,使用以下代码下载并加载模型。 1.安装modelscope pipinstallmodelscope 1. 2.下载模型 from modelscopeimportsnapshot_download model_dir=snapshot_download('deepseek-ai/DeepSeek-R1-Distill-Qwen-7B',cache_dir='/root/models',revision='master') ...
还有一个load之后报TypeError的问题 [rank0]: File "/usr/local/lib/python3.10/dist-packages/vllm/model_executor/models/deepseek_v3.py", line 472, in forward [rank0]: kv_c, k_pe = self.kv_a_proj_with_mqa(hidden_states)[0].split( ...
def init_device():# 初始化分布式推理的机器信息'''Initialize the distributed environment.'''init_distributed_environment(parallel_config.world_size, rank,distributed_init_method, local_rank) def load_model():self.model_runner.load_model() # ModelRunner.load_model() -> vllm.model_executor.model...
原生vllm并不支持热添加lora,但是考虑到微调机微调后,需要在不停机的情况下传递lora,于是我们需要增加一个逻辑 修改VLLM包中的vllm/entrypoints/openai/api_server1frompydanticimportBas2 3classAddLoraRequest(BaseModel):4lora_name: str5lora_path: str67@app.post("/v1/load_lora_adapter")8asyncdefadd_lo...
pload = { "prompt": prompt, "stream": True, "max_tokens": 128, } response = requests.post(args.model_url, headers=headers, json=pload, stream=True) for chunk in response.iter_lines(chunk_size=8192, decode_unicode=False, delimiter=b"\0"): if chunk: data = json.loads(chunk.decode...
docker run --gpus all -v /home/appuser/repo/models:/root/.cache/huggingface -p 8800:8000 --ipc=host vllm/vllm-openai:latest --model Qwen-14B-Chat-AWQ --quantization awq --tensor-parallel-size 2, however, vllm reported it failed to load the model file: OSError: We couldn't conn...