Alternatives and similar repositories for OpenMoE

Users that are interested in OpenMoE are comparing it to the libraries listed below

• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,589Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,273Updated 5 months ago
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆983Updated 8 months ago
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,399Updated last year
• jiaweizzhao / GaLore
  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
  ☆1,589Updated 10 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆744Updated 11 months ago
• S-LoRA / S-LoRA
  S-LoRA: Serving Thousands of Concurrent LoRA Adapters
  ☆1,852Updated last year
• FasterDecoding / Medusa
  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
  ☆2,604Updated last year
• uclaml / SPIN
  The official implementation of Self-Play Fine-Tuning (SPIN)
  ☆1,193Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,125Updated last year
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆844Updated last year
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆661Updated last year
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆630Updated last year
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,840Updated 2 weeks ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆990Updated last year
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆2,164Updated this week
• gkamradt / LLMTest_NeedleInAHaystack
  Doing simple retrieval from LLM models at various context lengths to measure accuracy
  ☆1,993Updated last year
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆880Updated last month
• allenai / OLMoE
  OLMoE: Open Mixture-of-Experts Language Models
  ☆845Updated 5 months ago
• allenai / dolma
  Data and tools for generating and inspecting OLMo pre-training data.
  ☆1,301Updated last week
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆913Updated 6 months ago
• casper-hansen / AutoAWQ
  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
  ☆2,229Updated 3 months ago
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆578Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,083Updated last year
• allenai / open-instruct
  AllenAI's post-training codebase
  ☆3,124Updated this week
• mlfoundations / dclm
  DataComp for Language Models
  ☆1,356Updated 3 weeks ago
• microsoft / MInference
  [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…
  ☆1,105Updated 2 weeks ago
• mit-han-lab / llm-awq
  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  ☆3,220Updated last month
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,490Updated last week
• ezelikman / quiet-star
  Code for Quiet-STaR
  ☆738Updated last year