wejoncy / QLLMLinks
A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
☆174Updated 3 months ago
Alternatives and similar repositories for QLLM
Users that are interested in QLLM are comparing it to the libraries listed below
Sorting:
- ☆195Updated 2 months ago
- Reorder-based post-training quantization for large language model☆192Updated 2 years ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆210Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆102Updated 3 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆133Updated 3 months ago
- GPTQ inference Triton kernel☆302Updated 2 years ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆360Updated 11 months ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆276Updated last month
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆191Updated 6 months ago
- A quantization algorithm for LLM☆141Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆135Updated this week
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆313Updated last year
- Easy and Efficient Quantization for Transformers☆198Updated 2 weeks ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆302Updated 4 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆264Updated 9 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆255Updated 8 months ago
- ☆120Updated last year
- Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).☆243Updated last year
- KV cache compression for high-throughput LLM inference☆132Updated 5 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆222Updated 6 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- PB-LLM: Partially Binarized Large Language Models☆152Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆115Updated last year
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆105Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆142Updated last month
- For releasing code related to compression methods for transformers, accompanying our publications☆433Updated 5 months ago
- ☆75Updated 7 months ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆80Updated 10 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆117Updated last year
- ☆87Updated 3 months ago