huggingface / llm_training_handbook
An open collection of methodologies to help with successful training of large language models.
☆459Updated 8 months ago
Related projects ⓘ
Alternatives and complementary repositories for llm_training_handbook
- An open collection of implementation tips, tricks and resources for training large language models☆459Updated last year
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆528Updated 8 months ago
- distributed trainer for LLMs☆542Updated 5 months ago
- ☆445Updated last week
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆667Updated 6 months ago
- Code for fine-tuning Platypus fam LLMs using LoRA☆623Updated 9 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,339Updated 6 months ago
- Scaling Data-Constrained Language Models☆321Updated last month
- batched loras☆336Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆435Updated 7 months ago
- Generate textbook-quality synthetic LLM pretraining data☆488Updated last year
- ☆1,263Updated this week
- ☆679Updated last month
- A simple and effective LLM pruning approach.☆660Updated 3 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,143Updated 3 weeks ago
- Minimalistic large language model 3D-parallelism training☆1,227Updated this week
- A repository for research on medium sized language models.☆479Updated this week
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆642Updated last month
- NeurIPS Large Language Model Efficiency Challenge: 1 LLM + 1GPU + 1Day☆251Updated last year
- Scalable toolkit for efficient model alignment☆611Updated this week
- OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.☆534Updated last year
- Expanding natural instructions☆956Updated 10 months ago
- Build, evaluate, understand, and fix LLM-based apps☆484Updated 9 months ago
- Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them☆424Updated 4 months ago
- Data and tools for generating and inspecting OLMo pre-training data.☆976Updated this week
- A bagel, with everything.☆312Updated 6 months ago
- Generative Representational Instruction Tuning☆562Updated this week
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆553Updated 8 months ago
- Best practices for distilling large language models.☆392Updated 9 months ago