vsingh-group / FrameQuantLinks
☆10Updated last year
Alternatives and similar repositories for FrameQuant
Users that are interested in FrameQuant are comparing it to the libraries listed below
Sorting:
- Fast Hadamard transform in CUDA, with a PyTorch interface☆259Updated last month
- ☆83Updated 10 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- LLM Inference with Microscaling Format☆32Updated last year
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆122Updated last year
- Collection of kernels written in Triton language☆169Updated 7 months ago
- Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…☆68Updated last year
- Explore training for quantized models☆25Updated 4 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆140Updated 2 weeks ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆111Updated last year
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆121Updated 4 months ago
- ☆60Updated last year
- This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"☆113Updated last month
- Transformers components but in Triton☆34Updated 6 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆166Updated this week
- ☆94Updated last year
- ☆76Updated last year
- Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels☆112Updated 2 years ago
- Boosting 4-bit inference kernels with 2:4 Sparsity☆85Updated last year
- ☆159Updated 2 years ago
- The official repository of Quamba1 [ICLR 2025] & Quamba2 [ICML 2025]☆60Updated 5 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆88Updated 2 months ago
- ☆21Updated last year
- ☆45Updated last year
- ☆48Updated last year
- ☆80Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆131Updated 6 months ago
- ☆166Updated 2 years ago
- ☆31Updated last year
- ☆151Updated 9 months ago