Mooler0410 / LLMsPracticalGuideLinks
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
☆10,146Updated last year
Alternatives and similar repositories for LLMsPracticalGuide
Users that are interested in LLMsPracticalGuide are comparing it to the libraries listed below
Sorting:
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Ad…☆6,092Updated 7 months ago
- Instruct-tune LLaMA on consumer hardware☆18,979Updated last year
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆20,543Updated last week
- Awesome-LLM: a curated list of Large Language Model☆26,144Updated 6 months ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,830Updated last year
- A guidance language for controlling large language models.☆21,252Updated this week
- The official GitHub page for the survey paper "A Survey of Large Language Models".☆12,074Updated 10 months ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,269Updated last month
- OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset☆7,530Updated 2 years ago
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,921Updated last year
- Aligning pretrained language models with instruction data generated by themselves.☆4,570Updated 2 years ago
- 🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.☆69,755Updated 2 weeks ago
- Universal LLM Deployment Engine with ML Compilation☆21,981Updated last week
- The paper list of the 86-page SCIS cover paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et a…☆8,050Updated 4 months ago
- An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.☆8,501Updated last week
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters