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TransformerLab: Open-Source LLM Toolkit for Local/Cloud

  • * TransformerLab is an open-source toolkit designed for training, fine-tuning, and interacting with LLMs, such as Llama 3, Qwen, and Gemma, either locally or in the cloud.
  • * The toolkit offers one-click downloads of Hugging Face models and supports hardware-agnostic fine-tuning and RLHF, compatible with MLX, GPUs, and cloud environments.
  • * Key features include a chat UI with history, templates, sliders, and function calls, along with drag-and-drop RAG capabilities featuring live embeddings and batched inference.
  • * It provides one-click evaluation and conversion between HF, MLX, and GGUF formats, facilitating model deployment across different platforms.
  • * The platform includes a plugin system with an embedded Monaco editor and a full REST API for end-to-end automation, enhancing its extensibility and integration capabilities.
  • * According to additional sources, TransformerLab aims to provide a platform for advanced LLM engineering on a personal computer, though specific technical stack, installation requirements, API details, licensing, version information, and performance characteristics require further investigation.
Source:

https://www.linkedin.com/posts/akshay-pachaar_i-found-a-100-open-source-toolkit-to-work-activity-7326945012821217282-_BXr

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