epfLLM / Megatron-LLMLinks
distributed trainer for LLMs
☆575Updated last year
Alternatives and similar repositories for Megatron-LLM
Users that are interested in Megatron-LLM are comparing it to the libraries listed below
Sorting:
- Scalable toolkit for efficient model alignment☆807Updated this week
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆611Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆727Updated 8 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,249Updated 2 months ago
- ☆517Updated 6 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆851Updated this week
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆461Updated last year
- Official repository for ORPO☆453Updated last year
- Generative Representational Instruction Tuning☆640Updated 2 months ago
- This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.☆547Updated last year
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,391Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,489Updated last year
- Fast Inference Solutions for BLOOM☆564Updated 7 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆635Updated 10 months ago
- Official repository of NEFTune: Noisy Embeddings Improves Instruction Finetuning☆396Updated last year
- Large Context Attention☆711Updated 4 months ago
- Minimalistic large language model 3D-parallelism training☆1,898Updated this week
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆328Updated last year
- A simple and effective LLM pruning approach.☆752Updated 9 months ago
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,108Updated last year
- Extend existing LLMs way beyond the original training length with constant memory usage, without retraining☆697Updated last year
- A framework for the evaluation of autoregressive code generation language models.☆946Updated 7 months ago
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆554Updated 5 months ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆896Updated 3 months ago
- RewardBench: the first evaluation tool for reward models.☆590Updated this week
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆809Updated 11 months ago
- Official repository for LongChat and LongEval☆518Updated last year
- DSIR large-scale data selection framework for language model training☆249Updated last year
- Code for the paper "Rethinking Benchmark and Contamination for Language Models with Rephrased Samples"☆302Updated last year
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.☆1,277Updated this week