pjlab-sys4nlp / llama-moeLinks
⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
☆1,004Updated last year
Alternatives and similar repositories for llama-moe
Users that are interested in llama-moe are comparing it to the libraries listed below
Sorting:
- LongBench v2 and LongBench (ACL 25'&24')☆1,078Updated last year
- [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning☆639Updated last year
- A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks☆272Updated last year
- Fast inference from large lauguage models via speculative decoding☆884Updated last year
- Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.☆751Updated last year
- Best practice for training LLaMA models in Megatron-LM☆664Updated 2 years ago
- Collaborative Training of Large Language Models in an Efficient Way☆417Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆584Updated last year
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆944Updated 11 months ago
- [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition☆666Updated last year
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,655Updated last year
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,105Updated last year
- [ICML 2024] LESS: Selecting Influential Data for Targeted Instruction Tuning☆512Updated last year
- [ICLR 2025] Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing. Your efficient and high-quality synthetic data …☆825Updated 10 months ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,227Updated last year
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,315Updated 10 months ago
- ☆321Updated last year
- Implementation of paper Data Engineering for Scaling Language Models to 128K Context☆484Updated last year
- ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search (NeurIPS 2024)☆688Updated last year
- Rectified Rotary Position Embeddings☆387Updated last year
- O1 Replication Journey☆2,001Updated last year
- [ACL 2024] Progressive LLaMA with Block Expansion.☆514Updated last year
- [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"☆445Updated last year
- A toolkit for inference and evaluation of 'mixtral-8x7b-32kseqlen' from Mistral AI☆773Updated 2 years ago
- Codebase for Merging Language Models (ICML 2024)☆863Updated last year
- Codes for the paper "∞Bench: Extending Long Context Evaluation Beyond 100K Tokens": https://arxiv.org/abs/2402.13718☆370Updated last year
- Large Reasoning Models☆807Updated last year
- distributed trainer for LLMs☆588Updated last year
- ☆977Updated 11 months ago
- A series of technical report on Slow Thinking with LLM☆758Updated 5 months ago