qwen1_5-7b-chat-q5_k_m.gguf和qwen1_5-7b-chat.mf需要在一个文件夹,否则需要更改第一行到对应目录。 官方说只要写第一行就行,实测没有后面的TEMPLATE和PARAMETER部分,模型会乱说且不知道停止。 生成ollama支持的模型方式: ollama create qwen1_5-7b-chat -f qwen1_5-7b-chat.mf 表示ollama create ...
SamplingParamsimportuvicorn#使用modelscope,如果不设置该环境变量,将会从huggingface下载os.environ['VLLM_USE_MODELSCOPE']='True'app=FastAPI()llm=LLM(model="qwen/Qwen-7B-Chat",trust_remote_code=True)sampling
Qwen1.5-32B:Qwen/Qwen1.5-32B-Chat Qwen1.5-72B:Qwen/Qwen1.5-32B-Chat Qwen1.5-MoeA2.7B:Qwen/Qwen1.5-MoE-A2.7B-Chat Llama-3-8B-Instruct:meta-llama/Meta-Llama-3-8B-Instruct Llama3-8B-Chinese-Chat :shenzhi-wang/Llama3-8B-Chinese-Chat Qwen2-7B-Instruct :Qwen/Qwen2-7B-Instruct You are ...
🤯 Lobe Chat - an open-source, modern-design AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Qwen / DeepSeek), Knowledge Base (file upload / knowledge management / RAG ), Multi-Modals (Vision/TTS/Plugins/Artifacts). One-click FREE deployment of ...
llama_model_loader: loaded meta data with 19 key-value pairs and 259 tensors from /Users/angus/.xinference/cache/qwen-chat-ggufv2-7b/Qwen-7B-Chat.Q4_K_M.gguf (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output...
python:3.10+,torch推荐使用 2.0 及以上的版本。gpu如果使用Qwen-7b 和Qwen-14b-int4需要大概24g显存,使用Qwen-14b需要40g左右显存。 3.环境搭建: 先拉取Langchain-Chatchat的项目代码 git clone https://github.com/chatchat-space/Langchain-Chatchat.git ...
LLaMA-Factory是一个优秀易上手的高效微调框架,今天在阿里云上微调一下Qwen大模型。 1、环境 阿里云镜像:modelscope:1.13.3-pytorch2.1.2tensorflow2.14.0-gpu-py310-cu121-ubuntu22.04 CPU:8; 内存:32 GiB; GPU:1; 型号:NVIDIA V100 显存:16G 经验证,在16G显存下,Qwen-14B-Chat、Qwen-7B-Chat微调均会报CU...
Perplexitysym_int4q4_kfp6fp8_e5m2fp8_e4m3fp16 Llama-2-7B-chat-hf6.3646.2186.0926.1806.0986.096 Mistral-7B-Instruct-v0.25.3655.3205.2705.2735.2465.244 Baichuan2-7B-chat6.7346.7276.5276.5396.4886.508 Qwen1.5-7B-chat8.8658.8168.5578.8468.5308.607 ...
MODEL_A2_7B, Copy link Collaborator slarenApr 16, 2024 This also needs an entry inllama_model_type_namefor its string representation. Sorry, something went wrong. ggerganov reacted with thumbs up emoji 👍 slarenapproved these changesApr 16, 2024 ...
本机为a4000显卡,选用Qwen1.5-7B-Chat-GPTQ-Int4提示: torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 2.32 GiB. GPU 0 has a total capacity of 15.73 GiB of which 615.94 MiB is free. Including non-PyTorch memory, this process has 13.73 GiB memory in use. Of theallocate...