ducdauge / sft-llmLinks
Scaling Sparse Fine-Tuning to Large Language Models
☆16Updated last year
Alternatives and similar repositories for sft-llm
Users that are interested in sft-llm are comparing it to the libraries listed below
Sorting:
- The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".☆23Updated 8 months ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆37Updated last year
- ☆20Updated last year
- [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens☆24Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆28Updated last year
- Official code for the paper "Attention as a Hypernetwork"☆40Updated last year
- ☆19Updated 2 years ago
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆42Updated last year
- ☆32Updated last year
- Using FlexAttention to compute attention with different masking patterns☆44Updated 9 months ago
- [ICML 2024] Official Repository for the paper "Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models"☆10Updated 11 months ago
- Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)☆24Updated last year
- Here we will test various linear attention designs.☆60Updated last year
- DPO, but faster 🚀☆43Updated 7 months ago
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 2 weeks ago
- ☆26Updated last year
- ☆18Updated 6 months ago
- Code for paper "Patch-Level Training for Large Language Models"☆85Updated 8 months ago
- Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"☆27Updated last year
- ☆55Updated last year
- Triton Implementation of HyperAttention Algorithm☆48Updated last year
- [NeurIPS 2024] Low rank memory efficient optimizer without SVD☆30Updated 2 weeks ago
- ☆32Updated last year
- ☆21Updated 2 years ago
- The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free☆44Updated 2 months ago
- Official Code Repository for the paper "Key-value memory in the brain"☆27Updated 4 months ago
- Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"☆48Updated last year
- Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"☆38Updated last month
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆31Updated last year
- 32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.☆48Updated 2 years ago