flashinfer、turbomind等还有就是sglang比较早支持reward model推理，做O1比较需要，vllm没去confirmsglang...
flashinfer、turbomind等还有就是sglang比较早支持reward model推理，做O1比较需要，vllm没去confirmsglang...
Motivation. As the openai o1 series of models gave us a peek on the great potential of RL, the interest on reward model, as a core component of model RL algorithms, are rising. Recently, we have tried to introduce new reward models into ...
说明: 使用的Hugging Face模型名称或路径。 默认: “facebook/opt-125m” --task 说明: 任务类型,支持的选项包括:auto, generate, embedding, embed, classify, score, reward, transcription。 默认: “auto” --tokenizer 说明: 使用的Hugging Face分词器名称或路径。如果未指定,将使用模型名称或路径。 --skip...
model_executor.models.qwen2 import Qwen2Model class ReLU(nn.Module): def __init__(self): super().__init__() self.activation = nn.ReLU() def forward(self, input): input, _ = input return self.activation(input) class Qwen2ForRewardModel(nn.Module): packed_modules_mapping = { "qkv...
--reward_num_gpus_per_node 2 \ # reward model GPU数量 --critic_num_nodes 1 \ # critic 节点数量 --critic_num_gpus_per_node 4 \ # critic GPU数量 --actor_num_nodes 1 \ # actor 训练节点数量 --actor_num_gpus_per_node 4 \ # actor 训练GPU数量 ...
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 AI检测代码解析 pipinstallmodelscope 1. 2.下载模型 AI检测代码解析 from modelscopeimportsnapshot_download model_dir=snapshot_download('deepseek-ai/DeepSeek-R1-Distill-Qwen-7B',cache_dir='/root...
"model_executor/layers/quantization/utils/configs/*.json", ] } if _no_device(): ext_modules = [] if not ext_modules: cmdclass = {} else: cmdclass = { "build_ext": repackage_wheel if envs.VLLM_USE_PRECOMPILED else cmake_build_ext } setup( # static metadata sho...
model=model_id, prompt=test_prompt, api_url=api_url, prompt_len=test_prompt_len, output_len=test_output_len, best_of=best_of, use_beam_search=use_beam_search, ) test_output = await request_func(request_func_input=test_input) if not test_output.success: raise ValueError...
# Model name: Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz # CPU family: 6 # Model: 106 # Thread(s) per core: 2 # Core(s) per socket: 32 # Socket(s): 2 # Stepping: 6 # BogoMIPS: 5799.78 # Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge ...