Transformer 实验室
Transformer Lab

原始链接: https://transformerlab.ai/

Mozilla支持的Transformer Lab是一个开源平台,致力于使所有软件开发者都能轻松集成大型语言模型(LLM)。它使用户无需具备Python或机器学习专业知识,即可在本地构建、微调和运行LLM。该平台提供一键下载Hugging Face上流行的模型,例如Llama 3和Mistral,并支持在苹果硅和GPU等多种硬件上进行微调。其功能包括基于人类反馈的强化学习(RLHF)、具有拖放界面的检索增强生成(RAG)、数据集构建和嵌入计算。它支持多种推理引擎(MLX、vLLM等),并提供Eleuther Harness和红队测试等评估工具。Transformer Lab提供REST API和跨平台兼容性(Windows、macOS、Linux),并提供灵活的部署选项,从本地到云端。用户可以轻松转换模型、利用插件支持、编辑提示并查看推理日志。

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  • 原文

    Transformer Lab is proud to be supported by Mozilla through the Mozilla Builders Program

    Example banner

    Transformer Lab is an open source platform that allows anyone to build, tune, & run Large Language Models locally, without writing code.

    We imagine a world where every software developer will incorporate large language models in their products. Transformer Lab allows users to do this without needing to know Python nor have previous experience with machine learning.

    Learn more about our vision

    • 💕 One-click Download Hundreds of Popular Models:
      • Llama3, Phi3, Mistral, Mixtral, Gemma, Command-R, and dozens more
    • ⬇ Download any LLM from Huggingface
    • 🎶 Finetune / Train Across Different Hardware
      • Finetune using MLX on Apple Silicon
      • Finetune using Huggingface on GPU
    • ⚖️ RLHF and Preference Optimization
      • DPO
      • ORPO
      • SIMPO
      • Reward Modeling
    • 🧐 GRPO Training
    • 💻 Work with LLMs Across Operating Systems:
      • Windows App
      • MacOS App
      • Linux
    • 💬 Chat with Models
      • Chat
      • Completions
      • Preset (Templated) Prompts
        • Chat History
        • Tweak generation parameters
      • Batch Inference
    • 🚂 Use Different Inference Engines
      • MLX on Apple Silicon
      • Huggingface Transformers
      • vLLM
      • Llama CPP
    • 🧑‍🎓 Evaluate models
      • Eleuther Harness
      • LLM as a Judge
      • Objective Metrics
      • Red Teaming Evals
      • Eval visualization and graphing
    • 📖 RAG (Retreival Augmented Generation)
      • Drag and Drop File UI
      • Works on Apple MLX, Transformers, and other engines
    • 📓 Build Datasets for Training
      • Pull from hundreds of common datasets available on HuggingFace
      • Provide your own dataset using drag and drop
    • 🔢 Calculate Embeddings
    • 💁 Full REST API
    • 🌩 Run in the Cloud
      • You can run the user interface on your desktop/laptop while the engine runs on a remote or cloud machine
      • Or you can run everything locally on a single machine
    • 🔀 Convert Models Across Platforms
      • Convert from/to Huggingface, MLX, GGUF
    • 🔌 Plugin Support
      • Easily pull from a library of existing plugins
      • Write your own plugins to extend functionality
    • 📝 Prompt Editing
      • Easily edit System Messages or Prompt Templates
    • 📜 Inference Logs
      • While doing inference or RAG, view a log of the raw queries sent to the LLM
    联系我们 contact @ memedata.com