GATECH-EIC / ShiftAddLLM
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
☆101Updated 4 months ago
Alternatives and similar repositories for ShiftAddLLM:
Users that are interested in ShiftAddLLM are comparing it to the libraries listed below
- ☆104Updated last month
- ☆111Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆157Updated 7 months ago
- PB-LLM: Partially Binarized Large Language Models☆150Updated last year
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆228Updated this week
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆95Updated last month
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆272Updated 3 weeks ago
- An algorithm for static activation quantization of LLMs☆113Updated 2 weeks ago
- SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆26Updated 6 months ago
- Code Repository of Evaluating Quantized Large Language Models☆116Updated 5 months ago
- ☆41Updated this week
- Boosting 4-bit inference kernels with 2:4 Sparsity☆64Updated 5 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆56Updated 3 months ago
- ☆23Updated 3 months ago
- The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆114Updated 2 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆192Updated 2 months ago
- A sparse attention kernel supporting mix sparse patterns☆108Updated this week
- Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆77Updated 2 months ago
- 16-fold memory access reduction with nearly no loss☆76Updated 3 months ago
- ☆32Updated 6 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆100Updated 9 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆107Updated 2 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆293Updated 7 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆141Updated 8 months ago
- Code for Palu: Compressing KV-Cache with Low-Rank Projection☆73Updated 2 weeks ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆46Updated 7 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆206Updated last month
- ☆141Updated last year
- ☆27Updated 10 months ago
- ☆219Updated 9 months ago