intel / neural-speedLinks
An innovative library for efficient LLM inference via low-bit quantization
☆348Updated last year
Alternatives and similar repositories for neural-speed
Users that are interested in neural-speed are comparing it to the libraries listed below
Sorting:
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 11 months ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆315Updated last week
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.☆631Updated this week
- Official implementation of Half-Quadratic Quantization (HQQ)☆878Updated last week
- Comparison of Language Model Inference Engines☆229Updated 9 months ago
- Easy and Efficient Quantization for Transformers☆203Updated 2 months ago
- 🤗 Optimum Intel: Accelerate inference with Intel optimization tools☆489Updated this week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆177Updated 5 months ago
- ☆555Updated 10 months ago
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆655Updated 4 months ago
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆89Updated this week
- OpenAI compatible API for TensorRT LLM triton backend☆214Updated last year
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆898Updated last year
- A safetensors extension to efficiently store sparse quantized tensors on disk☆157Updated this week
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆155Updated 11 months ago
- ☆199Updated 4 months ago
- llama3.cuda is a pure C/CUDA implementation for Llama 3 model.☆343Updated 4 months ago
- ☆120Updated last year
- scalable and robust tree-based speculative decoding algorithm☆357Updated 7 months ago
- A throughput-oriented high-performance serving framework for LLMs☆887Updated last month
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆380Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆704Updated last year
- ☆296Updated last week
- GPTQ inference Triton kernel☆307Updated 2 years ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆753Updated 6 months ago
- A high-performance inference system for large language models, designed for production environments.☆465Updated this week
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆232Updated 10 months ago
- ☆59Updated last year
- Inference server benchmarking tool☆100Updated 4 months ago