yizhongw / self-instructLinks
Aligning pretrained language models with instruction data generated by themselves.
☆4,515Updated 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☆4,337Updated 2 years ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,754Updated 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…☆2,775Updated last year
- Toolkit for creating, sharing and using natural language prompts.☆2,960Updated 2 years ago
- [ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters☆5,910Updated last year
- Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI☆2,052Updated last year
- General technology for enabling AI capabilities w/ LLMs and MLLMs☆4,160Updated 4 months ago
- A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)☆4,720Updated last year
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,615Updated 2 years ago
- Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)☆1,966Updated last year
- Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Ad…☆6,082Updated 4 months ago
- ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡☆2,942Updated last year
- The RedPajama-Data repository contains code for preparing large datasets for training large language models.☆4,839Updated 10 months ago
- A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".☆2,083Updated 2 years ago
- Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…☆2,498Updated last year
- QLoRA: Efficient Finetuning of Quantized LLMs☆10,734Updated last year
- Alpaca dataset from Stanford, cleaned and curated☆1,578Updated 2 years ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,205Updated last year
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,891Updated 2 months ago
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,791Updated 4 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,576Updated 5 months ago
- ☆1,550Updated last week
- Let ChatGPT teach your own chatbot in hours with a single GPU!☆3,166Updated last year
- Measuring Massive Multitask Language Understanding | ICLR 2021☆1,514Updated 2 years ago
- An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks☆2,065Updated last year
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,654Updated 4 months ago
- LLaMA: Open and Efficient Foundation Language Models☆2,801Updated last year
- A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)☆2,908Updated 3 weeks ago
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,066Updated 2 years ago
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,983Updated 6 months ago