Aaronhuang-778 / BiLLM
(ICML 2024) BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
☆207Updated last week
Alternatives and similar repositories for BiLLM:
Users that are interested in BiLLM are comparing it to the libraries listed below
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆315Updated last month
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆237Updated 3 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆174Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆290Updated 6 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆262Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆325Updated 5 months ago
- PB-LLM: Partially Binarized Large Language Models☆150Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆174Updated last year
- An algorithm for static activation quantization of LLMs☆107Updated this week
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆219Updated last week
- ☆139Updated last year
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆481Updated 2 months ago
- ☆99Updated 3 weeks ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆152Updated 6 months ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆203Updated 2 months ago
- Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization☆90Updated 2 months ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆100Updated 3 months ago
- ☆190Updated last month
- Reorder-based post-training quantization for large language model☆183Updated last year
- Code Repository of Evaluating Quantized Large Language Models☆112Updated 4 months ago
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆417Updated 2 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆299Updated 3 weeks ago
- ☆107Updated 3 months ago
- Fast Inference of MoE Models with CPU-GPU Orchestration☆179Updated 2 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆234Updated last month
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆94Updated last month
- ☆310Updated 9 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆399Updated 3 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆97Updated 8 months ago
- Low-bit optimizers for PyTorch☆125Updated last year