intel / auto-round
Advanced Quantization Algorithm for LLMs/VLMs.
☆344Updated this week
Alternatives and similar repositories for auto-round:
Users that are interested in auto-round are comparing it to the libraries listed below
- Official implementation of Half-Quadratic Quantization (HQQ)☆732Updated this week
- A family of compressed models obtained via pruning and knowledge distillation☆309Updated 2 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆481Updated 2 months ago
- Efficient LLM Inference over Long Sequences☆344Updated 2 weeks ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆851Updated this week
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆237Updated 3 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆680Updated 4 months ago
- An innovative library for efficient LLM inference via low-bit quantization☆352Updated 4 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆188Updated 6 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆561Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆692Updated 3 months ago
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆874Updated 2 weeks ago
- For releasing code related to compression methods for transformers, accompanying our publications☆399Updated 3 months ago
- Production ready LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.☆203Updated this week
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆219Updated last week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆257Updated 3 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆315Updated last month
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆754Updated 3 months ago
- ☆167Updated 3 months ago
- Easy and Efficient Quantization for Transformers☆191Updated last month
- LLM KV cache compression made easy☆303Updated this week
- A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..☆174Updated this week
- DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆417Updated 2 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆325Updated 5 months ago
- Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models☆209Updated 8 months ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆280Updated last month
- ☆515Updated 2 months ago
- scalable and robust tree-based speculative decoding algorithm☆329Updated 5 months ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆290Updated 6 months ago
- Model Compression Toolbox for Large Language Models and Diffusion Models☆299Updated 3 weeks ago