OpenGVLab / EfficientQATLinks
[ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
☆327Updated 2 months ago
Alternatives and similar repositories for EfficientQAT
Users that are interested in EfficientQAT are comparing it to the libraries listed below
Sorting:
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Updated last year
- ☆163Updated 7 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆480Updated last year
- The homepage of OneBit model quantization framework.☆200Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆402Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆455Updated last year
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆184Updated 10 months ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆356Updated 2 months ago
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆118Updated 3 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- A family of compressed models obtained via pruning and knowledge distillation☆364Updated 3 months ago
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆199Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆372Updated 11 months ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆523Updated 11 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆674Updated 9 months ago
- KV cache compression for high-throughput LLM inference☆151Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated 2 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆335Updated last year
- Reorder-based post-training quantization for large language model☆199Updated 2 years ago
- Efficient LLM Inference over Long Sequences☆394Updated 7 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆888Updated 2 months ago
- Code for data-aware compression of DeepSeek models☆69Updated last month
- ☆577Updated last year
- Awesome list for LLM quantization☆384Updated 3 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 11 months ago
- [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"☆208Updated 2 months ago
- ☆235Updated last year
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆395Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆238Updated this week