xuyuzhuang11 / OneBitLinks
The homepage of OneBit model quantization framework.
☆197Updated 11 months ago
Alternatives and similar repositories for OneBit
Users that are interested in OneBit are comparing it to the libraries listed below
Sorting:
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆323Updated last month
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Updated last year
- ☆162Updated 6 months ago
- For releasing code related to compression methods for transformers, accompanying our publications☆454Updated 11 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆396Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆219Updated 2 years ago
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆346Updated last month
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- ☆157Updated 10 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆170Updated last month
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆176Updated last year
- KV cache compression for high-throughput LLM inference☆148Updated 11 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆332Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆519Updated 11 months ago
- Low-bit optimizers for PyTorch☆137Updated 2 years ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 9 months ago
- ☆235Updated last year
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆198Updated 11 months ago
- The code of our paper "InfLLM: Unveiling the Intrinsic Capacity of LLMs for Understanding Extremely Long Sequences with Training-Free Mem…☆397Updated last year
- QuIP quantization☆61Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆116Updated 2 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆362Updated 2 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆470Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Updated 2 years ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆175Updated last year
- ☆204Updated last year
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆75Updated last year
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆259Updated last year
- ☆298Updated 6 months ago