Tags: llama* + github*

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1. Transformer Lab: Experiment with Large Language Models

   Transformer Lab is an open-source application for advanced LLM engineering, allowing users to interact, train, fine-tune, and evaluate large language models on their own computer. It supports various models, hardware, and inference engines and includes features like RAG, dataset building, and a REST API.

   2025-04-11 Tags: electron, transformers, llama, lora, mlx, llms, rlhf, llm, github by klotz
2. melodysdreamj/WizardVicunaLM: LLM that combines the principles of wizardLM and vicunaLM

   2023-08-26 Tags: wizard-vicuna, wizard-vicuna-lm, melodysdreamj, llm, llama, chat, github by klotz
3. jlonge4/local_llama: This repo is to showcase how you can run a model locally and offline, free of OpenAI dependencies.

   2023-06-25 Tags: llama.cpp, llama, pdf, chat, self-hosted, github, jlonge, hacks by klotz
4. abetlen/llama-cpp-python: Python bindings for llama.cpp

   llama-cpp-python offers a web server which aims to act as a drop-in replacement for the OpenAI API. This allows you to use llama.cpp compatible models with any OpenAI compatible client (language libraries, services, etc).

   2023-06-09 Tags: openai, llama.cpp, llama, python, api, foss, github by klotz
5. shawwn/llama: Inference code for LLaMA models

   2023-06-05 Tags: llm, llama, github, inference, python by klotz
6. Llama.Cpp

   obtain the original LLaMA model weights and place them in ./models

   ls ./models 65B 30B 13B 7B tokenizer_checklist.chk tokenizer.model

   install Python dependencies

   python3 -m pip install -r requirements.txt

   convert the 7B model to ggml FP16 format

   python3 convert.py models/7B/

   quantize the model to 4-bits (using q4_0 method)

   ./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin q4_0

   run the inference

   ./main -m ./models/7B/ggml-model-q4_0.bin -n 128

   2023-06-05 Tags: github, llama, llama cpp, llm, self-hosted by klotz

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