nyunAI / Faster-LLM-Survey
☆41Updated 10 months ago
Alternatives and similar repositories for Faster-LLM-Survey:
Users that are interested in Faster-LLM-Survey are comparing it to the libraries listed below
- ☆60Updated 3 weeks ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆40Updated last year
- Astraios: Parameter-Efficient Instruction Tuning Code Language Models☆57Updated 10 months ago
- ☆47Updated 6 months ago
- Code for studying the super weight in LLM☆84Updated 3 months ago
- ☆125Updated last year
- ☆75Updated last month
- Unofficial implementation of https://arxiv.org/pdf/2407.14679☆44Updated 5 months ago
- Codebase for Instruction Following without Instruction Tuning☆33Updated 5 months ago
- The official repo for "LLoCo: Learning Long Contexts Offline"☆114Updated 8 months ago
- Code for NeurIPS LLM Efficiency Challenge☆56Updated 10 months ago
- Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks☆140Updated 5 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"☆59Updated 4 months ago
- [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"☆35Updated 9 months ago
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆148Updated 8 months ago
- The Efficiency Spectrum of LLM☆52Updated last year
- ☆73Updated this week
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆39Updated last year
- ☆58Updated 3 months ago
- Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)☆149Updated 2 months ago
- From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…☆43Updated 7 months ago
- Codebase accompanying the Summary of a Haystack paper.☆75Updated 5 months ago
- The official implementation of the paper "Demystifying the Compression of Mixture-of-Experts Through a Unified Framework".☆59Updated 4 months ago
- ☆83Updated 5 months ago
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆44Updated 3 weeks ago
- Open Implementations of LLM Analyses☆101Updated 4 months ago
- Train, tune, and infer Bamba model☆86Updated last month
- ☆37Updated 4 months ago