mit-han-lab / TinyChatEngineLinks
TinyChatEngine: On-Device LLM Inference Library
☆924Updated last year
Alternatives and similar repositories for TinyChatEngine
Users that are interested in TinyChatEngine are comparing it to the libraries listed below
Sorting:
- Official implementation of Half-Quadratic Quantization (HQQ)☆893Updated last month
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,562Updated last year
- ☆569Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆875Updated 6 months ago
- Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".☆852Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,362Updated 4 months ago
- Serving multiple LoRA finetuned LLM as one☆1,120Updated last year
- A pytorch quantization backend for optimum☆1,010Updated last week
- MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.☆1,394Updated 7 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆781Updated 8 months ago
- [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding☆1,305Updated 8 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆708Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆954Updated last year
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆668Updated 7 months ago
- A simple and effective LLM pruning approach.☆821Updated last year
- Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".☆2,221Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆451Updated 10 months ago
- Low-bit LLM inference on CPU/NPU with lookup table☆895Updated 5 months ago
- Advanced quantization toolkit for LLMs and VLMs. Native support for WOQ, MXFP4, NVFP4, GGUF, Adaptive Bits and seamless integration with …☆724Updated this week
- Flash Attention in ~100 lines of CUDA (forward pass only)☆978Updated 11 months ago
- AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:☆2,276Updated 6 months ago
- A throughput-oriented high-performance serving framework for LLMs☆915Updated last month
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆347Updated 9 months ago
- [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…☆1,083Updated last year
- ☆550Updated 11 months ago
- Inference Vision Transformer (ViT) in plain C/C++ with ggml☆299Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆713Updated 3 months ago
- S-LoRA: Serving Thousands of Concurrent LoRA Adapters☆1,872Updated last year
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆900Updated this week
- An innovative library for efficient LLM inference via low-bit quantization☆350Updated last year