intel / neural-speed
An innovative library for efficient LLM inference via low-bit quantization
☆351Updated 5 months ago
Alternatives and similar repositories for neural-speed:
Users that are interested in neural-speed are comparing it to the libraries listed below
- Advanced Quantization Algorithm for LLMs/VLMs.☆372Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMs☆259Updated 4 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆729Updated 5 months ago
- Official implementation of Half-Quadratic Quantization (HQQ)☆748Updated this week
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆588Updated last week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆159Updated last week
- Easy and Efficient Quantization for Transformers☆193Updated 2 weeks ago
- A throughput-oriented high-performance serving framework for LLMs☆737Updated 5 months ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆286Updated 2 weeks ago
- ☆524Updated 3 months ago
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆523Updated last week
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆496Updated this week
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆265Updated last year
- Production ready LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.☆284Updated this week
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆361Updated 11 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆332Updated 6 months ago
- Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.☆191Updated 7 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆982Updated this week
- For releasing code related to compression methods for transformers, accompanying our publications☆408Updated last month
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆191Updated this week
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆88Updated this week
- An efficent implementation of the method proposed in "The Era of 1-bit LLMs"☆154Updated 4 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆246Updated 4 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆193Updated 3 months ago
- GPTQ inference Triton kernel☆295Updated last year
- Python bindings for ggml☆137Updated 5 months ago
- Efficient LLM Inference over Long Sequences☆357Updated this week
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆676Updated 6 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆229Updated this week
- Comparison of Language Model Inference Engines☆204Updated 2 months ago