SkyworkAI / Skywork-MoELinks
Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
☆137Updated last year
Alternatives and similar repositories for Skywork-MoE
Users that are interested in Skywork-MoE are comparing it to the libraries listed below
Sorting:
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆123Updated 9 months ago
- [ICML 2025] |TokenSwift: Lossless Acceleration of Ultra Long Sequence Generation☆115Updated 5 months ago
- Towards Economical Inference: Enabling DeepSeek's Multi-Head Latent Attention in Any Transformer-based LLMs☆191Updated 3 weeks ago
- ☆82Updated 2 months ago
- Fast LLM Training CodeBase With dynamic strategy choosing [Deepspeed+Megatron+FlashAttention+CudaFusionKernel+Compiler];☆41Updated last year
- Mixture-of-Experts (MoE) Language Model☆189Updated last year
- Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI.☆151Updated 2 weeks ago
- ☆65Updated 10 months ago
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆110Updated 7 months ago
- Exploring the Limit of Outcome Reward for Learning Mathematical Reasoning☆189Updated 7 months ago
- FuseAI Project☆87Updated 8 months ago
- Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆149Updated 7 months ago
- Reformatted Alignment☆112Updated last year
- [COLM 2025] An Open Math Pre-trainng Dataset with 370B Tokens.☆103Updated 6 months ago
- ☆119Updated 4 months ago
- A MoE impl for PyTorch, [ATC'23] SmartMoE☆71Updated 2 years ago
- We aim to provide the best references to search, select, and synthesize high-quality and large-quantity data for post-training your LLMs.☆60Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆173Updated last year
- code for Scaling Laws of RoPE-based Extrapolation☆73Updated 2 years ago
- A highly capable 2.4B lightweight LLM using only 1T pre-training data with all details.☆219Updated 2 months ago
- ☆116Updated last year
- ☆95Updated 10 months ago
- [EMNLP 2024] LongAlign: A Recipe for Long Context Alignment of LLMs☆256Updated 10 months ago
- [ICML 2025] Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale☆263Updated 3 months ago
- The RedStone repository includes code for preparing extensive datasets used in training large language models.☆142Updated 3 months ago
- ☆84Updated 6 months ago
- Low-bit optimizers for PyTorch☆132Updated 2 years ago
- [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.☆197Updated 4 months ago
- ☆319Updated last year
- ☆49Updated last year