[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
☆642Mar 4, 2024Updated 2 years ago
Alternatives and similar repositories for LLM-Shearing
Users that are interested in LLM-Shearing are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,107Oct 7, 2024Updated last year
- A simple and effective LLM pruning approach.☆852Aug 9, 2024Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆455Jan 16, 2025Updated last year
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆872Aug 20, 2024Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,317Mar 6, 2025Updated last year
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,002Dec 6, 2024Updated last year
- Tools for merging pretrained large language models.☆6,826Feb 28, 2026Updated last week
- Codebase for Merging Language Models (ICML 2024)☆863May 5, 2024Updated last year
- [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333☆1,149Jan 11, 2024Updated 2 years ago
- [AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models☆70Jan 6, 2024Updated 2 years ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,710Jun 25, 2024Updated last year
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆200Dec 8, 2025Updated 2 months ago
- Layer-Condensed KV cache w/ 10 times larger batch size, fewer params and less computation. Dramatic speed up with better task performance…☆156Apr 7, 2025Updated 11 months ago
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆127Jan 14, 2025Updated last year
- ☆109Jul 15, 2025Updated 7 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,663Mar 8, 2024Updated last year
- YaRN: Efficient Context Window Extension of Large Language Models☆1,676Apr 17, 2024Updated last year
- The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction☆390Jul 9, 2024Updated last year
- A framework for few-shot evaluation of language models.☆11,540Updated this week
- The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.☆8,896May 3, 2024Updated last year
- The official implementation of Self-Play Fine-Tuning (SPIN)☆1,235May 8, 2024Updated last year
- ModuleFormer is a MoE-based architecture that includes two different types of experts: stick-breaking attention heads and feedforward exp…☆226Sep 18, 2025Updated 5 months ago
- Best practice for training LLaMA models in Megatron-LM☆663Jan 2, 2024Updated 2 years ago
- DSIR large-scale data selection framework for language model training☆270Apr 7, 2024Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆30Mar 28, 2024Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆890Nov 26, 2025Updated 3 months ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆198May 9, 2023Updated 2 years ago
- Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets☆351Dec 26, 2023Updated 2 years ago
- Serving multiple LoRA finetuned LLM as one☆1,144May 8, 2024Updated last year
- ☆352Apr 2, 2024Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆262Apr 23, 2024Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆280Nov 3, 2023Updated 2 years ago
- Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3 (NeurIPS'25).☆2,201Feb 20, 2026Updated 2 weeks ago
- Repo for Rho-1: Token-level Data Selection & Selective Pretraining of LLMs.☆459Apr 18, 2024Updated last year
- A family of compressed models obtained via pruning and knowledge distillation☆368Nov 6, 2025Updated 4 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆712Aug 13, 2024Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆754Sep 27, 2024Updated last year
- Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)☆2,693Aug 14, 2024Updated last year
- Minimalistic large language model 3D-parallelism training☆2,579Feb 19, 2026Updated 2 weeks ago