wejoncy / QLLMLinks
A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
☆184Updated 10 months ago
Alternatives and similar repositories for QLLM
Users that are interested in QLLM are comparing it to the libraries listed below
Sorting:
- ☆206Updated 9 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆154Updated 5 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆110Updated 10 months ago
- Reorder-based post-training quantization for large language model☆199Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆220Updated 2 years ago
- GPTQ inference Triton kernel☆321Updated 2 years ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆238Updated this week
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆327Updated 2 months ago
- ☆79Updated last year
- ☆120Updated last year
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 11 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆404Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆335Updated last year
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆199Updated last year
- A high-throughput and memory-efficient inference and serving engine for LLMs☆267Updated 2 months ago
- Easy and Efficient Quantization for Transformers☆204Updated last week
- ☆157Updated 2 years ago
- KV cache compression for high-throughput LLM inference☆153Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆276Updated 6 months ago
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆134Updated last year
- A quantization algorithm for LLM☆148Updated last year
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆229Updated last year
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years 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
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆120Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆172Updated 2 months ago
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆113Updated 2 years ago
- For releasing code related to compression methods for transformers, accompanying our publications☆455Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆93Updated last year