xuyuzhuang11 / OneBitLinks
The homepage of OneBit model quantization framework.
☆200Updated last year
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☆327Updated 2 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆228Updated last year
- ☆163Updated 7 months ago
- Reorder-based post-training quantization for large language model☆198Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆404Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆524Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- For releasing code related to compression methods for transformers, accompanying our publications☆455Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆356Updated 2 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years 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
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated 2 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆198Updated last year
- ☆577Updated last year
- scalable and robust tree-based speculative decoding algorithm☆368Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆336Updated last year
- KV cache compression for high-throughput LLM inference☆153Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆482Updated last year
- ☆158Updated 11 months ago
- A family of compressed models obtained via pruning and knowledge distillation☆364Updated 3 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆279Updated 2 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆372Updated 11 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 10 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆176Updated last year
- Low-bit optimizers for PyTorch☆138Updated 2 years ago
- ☆157Updated 2 years ago
- Unofficial implementations of block/layer-wise pruning methods for LLMs.☆77Updated last year
- Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"☆177Updated last year
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆260Updated last year
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆142Updated last year