IST-DASLab / gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
☆2,067Updated last year
Alternatives and similar repositories for gptq:
Users that are interested in gptq are comparing it to the libraries listed below
- 4 bits quantization of LLaMA using GPTQ☆3,046Updated 8 months ago
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆2,895Updated last week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,373Updated 8 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,048Updated 3 weeks ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆777Updated 7 months ago
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆1,998Updated last week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,781Updated 2 weeks ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,221Updated 3 weeks ago
- ☆543Updated 3 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆683Updated 7 months ago
- YaRN: Efficient Context Window Extension of Large Language Models☆1,455Updated 11 months ago
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆791Updated 5 months ago
- Accessible large language models via k-bit quantization for PyTorch.☆6,868Updated last week
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆983Updated 5 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,810Updated last year
- Serving multiple LoRA finetuned LLM as one☆1,044Updated 10 months ago
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,479Updated 9 months ago
- Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackab…☆1,560Updated last year
- A simple and effective LLM pruning approach.☆727Updated 7 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆783Updated 6 months ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs…☆2,311Updated last week
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,034Updated last week
- ⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Pl…☆2,166Updated 5 months ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆1,380Updated last year
- LOMO: LOw-Memory Optimization☆982Updated 9 months ago
- Fast Inference Solutions for BLOOM☆562Updated 5 months ago
- The hub for EleutherAI's work on interpretability and learning dynamics☆2,432Updated 3 weeks ago
- Finetuning Large Language Models on One Consumer GPU in 2 Bits☆720Updated 10 months ago
- A family of open-sourced Mixture-of-Experts (MoE) Large Language Models☆1,491Updated last year
- Alpaca dataset from Stanford, cleaned and curated☆1,545Updated last year