KaihuaTang / Qwen-Tokenizer-PrunerLinks
Due to the huge vocaburary size (151,936) of Qwen models, the Embedding and LM Head weights are excessively heavy. Therefore, this project provides a Tokenizer vocabulary shearing solution for Qwen and Qwen-VL.
☆27Updated last year
Alternatives and similar repositories for Qwen-Tokenizer-Pruner
Users that are interested in Qwen-Tokenizer-Pruner are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Fast Best-of-N Decoding via Speculative Rejection☆51Updated 10 months ago
- [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”☆123Updated 8 months ago
- ☆14Updated 2 years ago
- Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models☆137Updated last year
- [ICLR 2025] SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration☆55Updated 7 months ago
- Code associated with the paper **Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding**☆202Updated 7 months ago
- The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":☆38Updated last year
- [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models☆101Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆72Updated last year
- ☆116Updated last year
- Repository of LV-Eval Benchmark☆70Updated last year
- [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".☆131Updated 10 months ago
- Multi-Candidate Speculative Decoding☆36Updated last year
- Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"☆63Updated last year
- ☆18Updated 9 months ago
- [ICLR‘24 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"☆94Updated 3 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆171Updated last year
- Model merging is a highly efficient approach for long-to-short reasoning.☆82Updated 3 months ago
- ☆65Updated 10 months ago
- ☆119Updated 3 months ago
- Repo for the EMNLP'24 Paper "Dual-Space Knowledge Distillation for Large Language Models". A general white-box KD framework for both same…☆60Updated last month
- 🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training☆89Updated 9 months ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)☆110Updated 6 months ago
- This is the official repo of "QuickLLaMA: Query-aware Inference Acceleration for Large Language Models"☆54Updated last year
- A prototype repo for hybrid training of pipeline parallel and distributed data parallel with comments on core code snippets. Feel free to…☆57Updated 2 years ago
- Code for paper "Patch-Level Training for Large Language Models"☆87Updated 10 months ago
- [ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning☆176Updated 3 months ago
- Implementation of NAACL 2024 Outstanding Paper "LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models"☆149Updated 6 months ago
- Counting-Stars (★)☆83Updated 3 months ago