luchangli03 / onnxsim_large_modelLinks
simplify >2GB large onnx model
☆63Updated 9 months ago
Alternatives and similar repositories for onnxsim_large_model
Users that are interested in onnxsim_large_model are comparing it to the libraries listed below
Sorting:
- export llama to onnx☆133Updated 8 months ago
- ☢️ TensorRT 2023复赛——基于TensorRT-LLM的Llama模型推断加速优化☆50Updated last year
- llm-export can export llm model to onnx.☆306Updated last week
- A Toolkit to Help Optimize Large Onnx Model☆158Updated last year
- ☆59Updated 9 months ago
- ☆26Updated 2 years ago
- NVIDIA TensorRT Hackathon 2023复赛选题:通义千问Qwen-7B用TensorRT-LLM模型搭建及优化☆42Updated last year
- Serving Inside Pytorch☆163Updated last month
- ☆141Updated last year
- ☆125Updated last year
- ☆128Updated 8 months ago
- An easy-to-use package for implementing SmoothQuant for LLMs☆105Updated 5 months ago
- Transformer related optimization, including BERT, GPT☆17Updated 2 years ago
- run ChatGLM2-6B in BM1684X☆50Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆61Updated 10 months ago
- llm deploy project based onnx.☆43Updated 11 months ago
- ☆72Updated 2 years ago
- ☆26Updated 2 years ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆23Updated last year
- Large Language Model Onnx Inference Framework☆36Updated 8 months ago
- TensorRT 2022复赛方案: 首个基于Transformer的图像重建模型MST++的TensorRT模型推断优化☆142Updated 3 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆40Updated 6 months ago
- 天池 NVIDIA TensorRT Hackathon 2023 —— 生成式AI模型优化赛 初赛第三名方案☆50Updated 2 years ago
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆139Updated 3 weeks ago
- ☆49Updated 10 months ago
- ☆90Updated 2 years ago
- Tutorials for writing high-performance GPU operators in AI frameworks.☆130Updated 2 years ago
- A light llama-like llm inference framework based on the triton kernel.☆151Updated last month
- ☆99Updated 4 years ago
- A quantization algorithm for LLM☆141Updated last year