serve.model_worker --model-path qwen/Qwen-1_8B-Chat --revision v1.0.0 之后在新的terminal中可以运行界面进行推理: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 python3 -m fastchat.serve.gradio_web_server 6.DeepSpeed 网址:https://github.com/microsoft/DeepSpeed 网址:https://www.deepspeed...
swift deploy --model_id_or_path qwen/Qwen-1_8B-Chat --max_new_tokens 128 --temperature 0.3 --top_p 0.7 --repetition_penalty 1.05 --do_sample true 调用: from openai import OpenAI client = OpenAI( api_key='EMPTY', base_url='http://localhost:8000/v1', ...
网址:https://github.com/modelscope/swift/tree/main SWIFT(Scalable lightWeight Infrastructure for Fine-Tuning)是基于PyTorch的轻量级、开箱即用的模型微调、推理框架。它不仅集成了各类开源tuners,如LoRA、QLoRA、Adapter等,并且融合了ModelScope独立自研的特有tuner ResTuning,得益于此,各个模态的开发者均可以找到适...
--hf_model_dir $PHI_PATH/7B/ \ --data_type bf16 \ --engine_dir $PHI_PATH/7B/trt_engines/int8_weight_only/1-gpu/ 得到结果后就可以解析输出并绘制图表,比较所有模型的执行时间、ROUGE分数、延迟和吞吐量。 可以看到速度提高了不少,所有结果我们最后一起总结。
网址:https://github.com/modelscope/swift/tree/main SWIFT(Scalable lightWeight Infrastructure for Fine-Tuning)是基于PyTorch的轻量级、开箱即用的模型微调、推理框架。它不仅集成了各类开源tuners,如LoRA、QLoRA、Adapter等,并且融合了ModelScope独立自研的特有tuner ResTuning,得益于此,各个模态的开发者均可以找到适...
swift infer --model_id_or_path qwen/Qwen-1_8B-Chat --max_new_tokens 128 --temperature 0.3 --top_p 0.7 --repetition_penalty 1.05 --do_sample true 也支持在部署中使用VLLM: swift deploy --model_id_or_path qwen/Qwen-1_8B-Chat --max_new_tokens 128 --temperature 0.3 --top_p 0.7 ...
the version of nccl in environment is "nvidia-nccl-cu11 2.20.5" 3、 when deploy LLM model by vllm, there have Errors as follows: 2024-06-18 22:03:51 | INFO | stdout | (RayWorkerWrapper pid=1043334) ERROR 06-18 22:03:50 worker_base.py:148] File "/opt/anaconda3/envs/vllm4/l...
I want to deploy a LLM model on 8 A100 gpus. To support the higher concurrency, I want to deploy 8 replicas (one replica on one gpu), and I want to expose one service to handle user requests, how can I do it?
vLLM 最新版v0.6.3.post1在2024年10月18日左右:https://github.com/vllm-project/vllm/releases v0.6.3.post1要求cuda 12.0以后版本:https://github.com/vllm-project/vllm/blob/v0.6.3.post1/CMakeLists.txt cuda安装:https://developer.nvidia.com/cuda-toolkit-archive Python: 3.8 – 3.12 3、安装...
网址:github.com/modelscope/s SWIFT(Scalable lightWeight Infrastructure for Fine-Tuning)是基于PyTorch的轻量级、开箱即用的模型微调、推理框架。它不仅集成了各类开源tuners,如LoRA、QLoRA、Adapter等,并且融合了ModelScope独立自研的特有tuner ResTuning,得益于此,各个模态的开发者均可以找到适合自己模型的开发方式。