Alternatives and similar repositories for sft-llm:

Users that are interested in sft-llm are comparing it to the libraries listed below

• chijames / KERPLE
  ☆18Updated 2 years ago
• renll / SeqBoat
  [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling
  ☆35Updated last year
• prateeky2806 / ComPEFT
  ☆25Updated last year
• ldery / Bonsai
  Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"
  ☆27Updated 9 months ago
• thunlp / SparsingLaw
  The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".
  ☆18Updated 2 months ago
• yikangshen / megablocks
  ☆18Updated 7 months ago
• kazuki-irie / kv-memory-brain
  Official Code Repository for the paper "Key-value memory in the brain"
  ☆20Updated last week
• sanagno / adaptively_sparse_attention
  ☆18Updated last year
• kyegomez / Infini-attention
  Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTO…
  ☆53Updated this week
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆21Updated 4 months ago
• john-hewitt / implicit-ins
  Codebase for Instruction Following without Instruction Tuning
  ☆33Updated 3 months ago
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆25Updated 9 months ago
• AlanAnsell / peft
  ☆16Updated 6 months ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated last year
• Doraemonzzz / xmixers
  Xmixers: A collection of SOTA efficient token/channel mixers
  ☆12Updated 2 months ago
• sjelassi / transformers_ssm_copy
  ☆29Updated 10 months ago
• HazyResearch / prefix-linear-attention
  ☆47Updated 6 months ago
• DRSY / KV_Compression
  [EMNLP 2023]Context Compression for Auto-regressive Transformers with Sentinel Tokens
  ☆22Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆28Updated 7 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆58Updated 8 months ago
• kyegomez / Reka-Torch
  Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch
  ☆28Updated this week
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆75Updated 2 months ago
• Yuanhy1997 / HyPe
  HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]
  ☆14Updated last year
• IST-DASLab / RoSA
  ☆38Updated 11 months ago
• MikaStars39 / StableMask
  PyTorch implementation of StableMask (ICML'24)
  ☆12Updated 6 months ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆40Updated 3 months ago
• nanowell / Q-Sparse-LLM
  My Implementation of Q-Sparse: All Large Language Models can be Fully Sparsely-Activated
  ☆31Updated 5 months ago
• OpenNLPLab / HGRN
  [NeurIPS 2023 spotlight] Official implementation of HGRN in our NeurIPS 2023 paper - Hierarchically Gated Recurrent Neural Network for Se…
  ☆62Updated 8 months ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year