yizhongw / self-instructLinks
Aligning pretrained language models with instruction data generated by themselves.
☆4,404Updated 2 years ago
Alternatives and similar repositories for self-instruct
Users that are interested in self-instruct are comparing it to the libraries listed below
Sorting:
- Instruction Tuning with GPT-4☆4,312Updated 2 years ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,885Updated last year
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,672Updated last year
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Ad…☆6,073Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,879Updated 2 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,736Updated 11 months ago
- ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡☆2,944Updated last year
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,758Updated 6 months ago
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,518Updated last year
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,618Updated last year
- We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tunin…☆2,752Updated last year
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,040Updated 11 months ago
- Toolkit for creating, sharing and using natural language prompts.☆2,890Updated last year
- LLaMA: Open and Efficient Foundation Language Models☆2,801Updated last year
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆2,478Updated 10 months ago
- 🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.☆18,912Updated this week
- An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks☆2,044Updated last year
- Accessible large language models via k-bit quantization for PyTorch.☆7,192Updated this week
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,551Updated 3 weeks ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,758Updated 2 weeks ago
- 4 bits quantization of LLaMA using GPTQ☆3,053Updated 11 months ago
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,043Updated this week
- Instruct-tune LLaMA on consumer hardware☆18,927Updated 11 months ago
- An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.☆8,441Updated last month
- [ICLR 2024] Efficient Streaming Language Models with Attention Sinks☆6,921Updated 11 months ago
- ☆1,528Updated 2 weeks ago
- Let ChatGPT teach your own chatbot in hours with a single GPU!☆3,170Updated last year
- Large Language Model Text Generation Inference☆10,265Updated last week
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,781Updated 6 months ago
- Alpaca dataset from Stanford, cleaned and curated☆1,557Updated 2 years ago