intel / intel-extension-for-transformersLinks
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
☆2,170Updated 7 months ago
Alternatives and similar repositories for intel-extension-for-transformers
Users that are interested in intel-extension-for-transformers are comparing it to the libraries listed below
Sorting:
- MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.☆2,014Updated 2 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,826Updated last year
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,176Updated 3 weeks ago
- SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX R…☆2,419Updated this week
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,119Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,041Updated 3 weeks ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,249Updated 3 months ago
- Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.☆5,965Updated last month
- Official implementation of Half-Quadratic Quantization (HQQ)☆818Updated this week
- ☆971Updated 4 months ago
- Serving multiple LoRA finetuned LLM as one☆1,062Updated last year
- Python bindings for the Transformer models implemented in C/C++ using GGML library.☆1,866Updated last year
- ☆1,025Updated last year
- Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads☆2,532Updated 11 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆3,262Updated last week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,441Updated this week
- The Triton TensorRT-LLM Backend☆845Updated this week
- An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.☆4,857Updated last month
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper, Ada and Bla…☆2,450Updated this week
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,797Updated last week
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,417Updated 10 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆831Updated 9 months ago
- Transformer related optimization, including BERT, GPT☆6,179Updated last year
- PyTorch native post-training library☆5,233Updated this week
- PyTorch native quantization and sparsity for training and inference☆2,072Updated this week
- 🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization…☆2,929Updated last week
- A fast inference library for running LLMs locally on modern consumer-class GPUs☆4,196Updated last week
- FlashInfer: Kernel Library for LLM Serving☆3,088Updated this week
- Accessible large language models via k-bit quantization for PyTorch.☆7,088Updated last week
- Minimalistic large language model 3D-parallelism training☆1,898Updated this week