Grounding - Bench 任务输入为一个图像以及用户指令,生成一个带有bbox的caption T(对于每一个bbox有一个对应的phrase)。 评测chat得分:参考LLaVA Bench,但是对于输出会去除special token以及boxes信息。 grounded回复得分:完整性(Recall)、幻觉(准确性)、F1 score。 模型效果:发布于 2024-07-01 16:02・北京 多...
importosos.environ["CUDA_VISIBLE_DEVICES"]="6,7"fromvllmimportLLM,SamplingParamsllm=LLM('/data-ai/model/llama2/llama2_hf/Llama-2-13b-chat-hf')INFO01-1808:13:26llm_engine.py:70]InitializinganLLMenginewithconfig:model='/data-ai/model/llama2/llama2_hf/Llama-2-13b-chat-hf',tokenizer='/...
239 0 06:51 App centos7+deepseek-r1+gpu+cuda+vllm_1.环境查看 460 0 21:01 App deepseek-r1+gpu+cuda+vllm_3.驱动安装、cuda安装、pytorch安装、vllm安装 3643 0 02:36 App DeepSeek-R1本地RAG:新增多文件上传和多轮问答 3807 1 10:43 App DeepSeek+ChatBOX=数据分析师 1544 0 01:42 App...
FastChat-vLLM integration has powered LMSYS Vicuna and Chatbot Arena since mid-April. Check out our blog post. About vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in the Sky Computing Lab at UC Berkeley, vLLM has evolved into a community-...
[2023/06] We officially released vLLM! FastChat-vLLM integration has poweredLMSYS Vicuna and Chatbot Arenasince mid-April. Check out ourblog post. About vLLM is a fast and easy-to-use library for LLM inference and serving. Originally developed in theSky Computing Labat UC Berkeley, vLLM ...
并且还可指定对话模板(chat-template)。 2.3.1 查看模型 curlhttp://localhost:8000/v1/models 输出: {"object":"list","data": [ {"id":"llama-2-13b-chat-hf","object":"model","created":1705568412,"owned_by":"vllm","root":"llama-2-13b-chat-hf","parent":null,"permission": [ ...
/v1/chat/completions: to access the chat API Contributing If you have any questions, ideas or suggestions regarding this application sample, feel free to open an issue or fork this repository and open a pull request. Contact Koyeb - @gokoyeb - SlackAbout...
text = tokenizer.apply_chat_template( messages, tokenize=False, add_generation_prompt=True, ) # 初始化大语言模型 llm = LLM( model=model_dir, tensor_parallel_size=1, # CPU无需张量并行 device='cpu', ) # 超参数:最多512个Token sampling_params = SamplingParams(temperature=0.7, top_p=0.8,...
而Langchian-Chatchat中对于不同类型的文件提供了不同的处理方式,从项目server/knoledge_base/utils.py文件中可以看到对于不同类型文件的加载方式,大体有HTML,Markdown,json,PDF,图片及其他类型等 LOADER_DICT = {"UnstructuredHTMLLoader": ['.html'],"UnstructuredMarkdownLoader": ['.md'],"CustomJSONLoader"...
vllmA是一种高吞吐量和内存高效的推理和服务引擎,专为LLMs(Language Learning Models,语言学习模型)而设计。这个引擎采用了先进的技术和算法,以实现更高效的推理和服务过程。 首先,vllmA具备高吞吐量,可以同时支持多个LLMs的推理和服务需求。它利用并行计算和分布式处理,能够同时处理多个请求,大大提高了吞吐量。这...