wangzhaode / llm-exportLinks
llm-export can export llm model to onnx.
☆324Updated 3 weeks ago
Alternatives and similar repositories for llm-export
Users that are interested in llm-export are comparing it to the libraries listed below
Sorting:
- export llama to onnx☆136Updated 10 months ago
- LLaMa/RWKV onnx models, quantization and testcase☆367Updated 2 years ago
- simplify >2GB large onnx model☆65Updated 11 months ago
- Run generative AI models in sophgo BM1684X/BM1688☆253Updated last week
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆267Updated 3 months ago
- [EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLM, VLM, and video generation models.☆614Updated this week
- ☆51Updated last year
- ☆139Updated last year
- ☆130Updated 10 months ago
- ☆60Updated 11 months ago
- ☆90Updated 2 years ago
- ☆26Updated 2 years ago
- PaddlePaddle custom device implementaion. (『飞桨』自定义硬件接入实现)☆98Updated last week
- 基于MNN-llm的安卓手机部署大语言模型:Qwen1.5-0.5B-Chat☆86Updated last year
- ☆27Updated last year
- stable diffusion using mnn☆67Updated 2 years ago
- run ChatGLM2-6B in BM1684X☆50Updated last year
- A Toolkit to Help Optimize Large Onnx Model☆161Updated 2 weeks ago
- a lightweight LLM model inference framework☆740Updated last year
- Large Language Model Onnx Inference Framework☆36Updated 2 weeks ago
- Serving Inside Pytorch☆165Updated last week
- Inference RWKV v5, v6 and v7 with Qualcomm AI Engine Direct SDK☆87Updated 3 weeks ago
- ☢️ TensorRT 2023复赛——基于TensorRT-LLM的Llama模型推断加速优化☆50Updated 2 years ago
- ☆72Updated 2 years ago
- A light llama-like llm inference framework based on the triton kernel.☆161Updated last month
- C++ implementation of Qwen-LM☆606Updated 11 months ago
- PyTorch Neural Network eXchange☆642Updated this week
- Compare multiple optimization methods on triton to imporve model service performance☆52Updated last year
- ☆27Updated 2 years ago
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆479Updated last year