fxmeng / mixtral_spliterLinks
Converting Mixtral-8x7B to Mixtral-[1~7]x7B
☆22Updated last year
Alternatives and similar repositories for mixtral_spliter
Users that are interested in mixtral_spliter are comparing it to the libraries listed below
Sorting:
- ☆101Updated 8 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623☆85Updated 8 months ago
- Touchstone: Evaluating Vision-Language Models by Language Models☆83Updated last year
- A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…☆55Updated last year
- ☆64Updated last year
- [ACL 2024] Long-Context Language Modeling with Parallel Encodings☆154Updated last year
- ☆36Updated 9 months ago
- Code for paper "Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning"☆80Updated last year
- Implementations of online merging optimizers proposed by Online Merging Optimizers for Boosting Rewards and Mitigating Tax in Alignment☆75Updated last year
- A Framework for Decoupling and Assessing the Capabilities of VLMs☆44Updated 11 months ago
- [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)☆146Updated 4 months ago
- Research without Re-search: Maximal Update Parametrization Yields Accurate Loss Prediction across Scales☆32Updated last year
- An Experiment on Dynamic NTK Scaling RoPE☆64Updated last year
- Official completion of “Training on the Benchmark Is Not All You Need”.☆34Updated 5 months ago
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆121Updated 5 months ago
- The code and data for the paper JiuZhang3.0☆46Updated last year
- code for Scaling Laws of RoPE-based Extrapolation☆73Updated last year
- Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models☆133Updated last year
- [ArXiv] V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding☆50Updated 6 months ago
- ☆37Updated 2 months ago
- [ACL 2025, Main Conference] Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process☆28Updated 10 months ago
- [ICML 2024] Selecting High-Quality Data for Training Language Models☆176Updated last year
- Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme☆130Updated 2 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆158Updated 9 months ago
- On Memorization of Large Language Models in Logical Reasoning☆67Updated 2 months ago
- ☆50Updated last year
- [ACL-25] We introduce ScaleQuest, a scalable, novel and cost-effective data synthesis method to unleash the reasoning capability of LLMs.☆63Updated 7 months ago
- MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria☆69Updated 8 months ago
- Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]☆138Updated 9 months ago