首先下载LM Studio 的rocm(0.2.24)版(http://lmstudio.ai/rocm)并安装。(0.2.24版本之后,需要下载普通版本http://lmstudio.ai,然后按照github.com\mstudio-ai/configs/blob/main/Extension-Pack-Instructions.md 说明安装rocm版本,如0.2.27版本在 Powershell 命令终端中输入 Invoke-Expression ([System.Text.Enco...
LM Studio最近更新了其本地大模型聊天工具0.2.18版本,其中包括发布了在 Windows操作系统下运行ROCm的预览版,分别支持代号gfx1030(RX6800-RX6950XT)、gfx1100(RX7900XTX和RX7900XT)、gfx1101(RX7700XT和RX7800XT)、gfx1102(RX7600)四款系列的AMD显卡,经本人的7900XTX显卡测试运行良好,期间使用的 Causallm dpo alp...
接下来，在右侧面板向下滚动，找到Q4KM模型文件，点击下载安装。然后切换至聊天选项卡，从顶部中间的下拉菜单中选择该模型，耐心等待完成加载。.如果安装的是AMD显卡版的LM Studio，请选中右侧面板上的“GPU 卸载”，将滑块一直移动到”最大"，如果LM Studio检测到的GPU类型显示为“AMD ROCm”，就配置成功，可以愉快...
该软件有两个版本,如果是采用AMD的处理器运行,请选择下载“LM Studio for Windows”版,如果是采用AMD的显卡来运行,请选择下载“LM Studio for AMD ROCm”版。 LM Studio软件安装完成之后,下一步是选择正确的模型,目前主流的模型有两种,分别是Mistral 7b和LLAMA v2 7b。 如果选择使用Mistral 7b,可以在LM Studio的...
LM Studio是我目前见到最好用,也是最简单的本地测试AI模型的工具,不需要安装python环境以及众多的组件,加载模型、启用GPU、聊天都非常简单。而且可以切换很多不同类型的大语言模型,同时支持在Windows和MAC上的PC端部署。使用LM Studio不需要深厚的技术背景或复杂的安装过程。传统上,本地部署大型语言模型如Lama CPP或GPT...
Package lmstudio already exists as is. LM Studio is an easy to use desktop app for experimenting with local and open-source Large Language Models (LLMs) homepage URL: https://lmstudio.ai/ source URL: https://github.com/NixOS/nixpkgs/blob...
LM Studio 0.2.22 running out of memory with context sizes larger than 56k (model supports 1024k) #14 opened May 11, 2024 by thisIsLoading LM Studio 0.2.22 (linux) on Ubuntu 24.04 LTS won't recognize ROCm environment #13 opened May 11, 2024 by ricperry Font size too small and...
I would select them, they would try to load, and then give me the error. I kept getting the same error. I will highlight that this is my first experience using LM Studio for LLMs. Labels Labels: ML Training Radeon AI ROCm AI
Member @DakuGit@flleeppyyare you on 0.2.23? To be sure, can you please redownload from the website and try again? https://lmstudio.ai yagilmentioned this issueMay 17, 2024 Always got the messages as below when I start local http serverlmstudio-ai/lmstudio.js#25 ...
USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.16.2 LMDeploy: 0.3.0+b5b2b8b transformers: 4.38.2 gradio: 3.50.2 fastapi: 0.110.1 pydantic: 2.6.4 triton: 2.1...