mlc-ai / llm-perf-benchLinks
☆120Updated last year
Alternatives and similar repositories for llm-perf-bench
Users that are interested in llm-perf-bench are comparing it to the libraries listed below
Sorting:
- GPTQ inference Triton kernel☆307Updated 2 years ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆177Updated 5 months ago
- Reorder-based post-training quantization for large language model☆195Updated 2 years ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆319Updated last year
- ☆197Updated 4 months ago
- A high-throughput and memory-efficient inference and serving engine for LLMs☆266Updated 11 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024☆182Updated last year
- ☆164Updated this week
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆263Updated last month
- The official implementation of the EMNLP 2023 paper LLM-FP4☆214Updated last year
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆89Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆377Updated last year
- ☆74Updated 5 months ago
- Easy and Efficient Quantization for Transformers☆203Updated 2 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆380Updated last year
- An easy-to-use package for implementing SmoothQuant for LLMs☆105Updated 5 months ago
- scalable and robust tree-based speculative decoding algorithm☆357Updated 7 months ago
- ☆121Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆82Updated last year
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆232Updated 9 months ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆139Updated 3 weeks ago
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated last year
- llama INT4 cuda inference with AWQ☆54Updated 7 months ago
- Fast low-bit matmul kernels in Triton☆365Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆114Updated last year
- ☆154Updated 2 years ago
- ☆94Updated 5 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees" adapted for Llama models☆39Updated 2 years ago
- ☆555Updated 10 months ago