Alternatives and similar repositories for OpenMoE:

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

• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,240Updated last month
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,468Updated last year
• jiaweizzhao / GaLore
  GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
  ☆1,542Updated 5 months ago
• lucidrains / self-rewarding-lm-pytorch
  Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
  ☆1,378Updated last year
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆1,793Updated this week
• yule-BUAA / MergeLM
  Codebase for Merging Language Models (ICML 2024)
  ☆816Updated 11 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆715Updated 6 months ago
• S-LoRA / S-LoRA
  S-LoRA: Serving Thousands of Concurrent LoRA Adapters
  ☆1,817Updated last year
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,099Updated last year
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,183Updated this week
• ContextualAI / HALOs
  A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
  ☆833Updated last week
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆572Updated 11 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆598Updated last year
• princeton-nlp / SimPO
  [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward
  ☆873Updated 2 months ago
• sail-sg / lorahub
  [COLM 2024] LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
  ☆628Updated 9 months ago
• huggingface / lighteval
  Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
  ☆1,438Updated this week
• pjlab-sys4nlp / llama-moe
  ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)
  ☆955Updated 4 months ago
• FasterDecoding / Medusa
  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
  ☆2,503Updated 9 months ago
• eric-mitchell / direct-preference-optimization
  Reference implementation for DPO (Direct Preference Optimization)
  ☆2,530Updated 8 months ago
• uclaml / SPIN
  The official implementation of Self-Play Fine-Tuning (SPIN)
  ☆1,146Updated 11 months ago
• datamllab / LongLM
  [ICML'24 Spotlight] LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning
  ☆650Updated 10 months ago
• allenai / open-instruct
  AllenAI's post-training codebase
  ☆2,913Updated this week
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,054Updated 11 months ago
• mit-han-lab / llm-awq
  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  ☆2,942Updated last week
• allenai / dolma
  Data and tools for generating and inspecting OLMo pre-training data.
  ☆1,198Updated last week
• AGI-Edgerunners / LLM-Adapters
  Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"
  ☆1,151Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆704Updated 2 months ago
• tatsu-lab / alpaca_eval
  An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
  ☆1,718Updated 3 months ago
• casper-hansen / AutoAWQ
  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
  ☆2,104Updated 2 weeks ago
• OpenLMLab / LOMO
  LOMO: LOw-Memory Optimization
  ☆985Updated 9 months ago