harleyszhang / lite_llamaLinks
A light llama-like llm inference framework based on the triton kernel.
☆151Updated last month
Alternatives and similar repositories for lite_llama
Users that are interested in lite_llama are comparing it to the libraries listed below
Sorting:
- ☆35Updated 4 months ago
- learning how CUDA works☆317Updated 6 months ago
- A CUDA tutorial to make people learn CUDA program from 0☆251Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆61Updated 10 months ago
- 校招、秋招、春招、实习好项目,带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。☆424Updated 2 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆106Updated 2 months ago
- how to learn PyTorch and OneFlow☆451Updated last year
- ☆296Updated 11 months ago
- ☆26Updated last month
- CUDA 算子手撕与面试指南☆589Updated 3 weeks ago
- ☆138Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆230Updated 2 months ago
- A tutorial for CUDA&PyTorch☆154Updated 7 months ago
- b站上的课程☆75Updated 2 years ago
- Implement custom operators in PyTorch with cuda/c++☆71Updated 2 years ago
- ☆59Updated 9 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆217Updated last month
- flash attention tutorial written in python, triton, cuda, cutlass☆417Updated 4 months ago
- Optimize softmax in triton in many cases☆21Updated last year
- CUDA C 编程权威指南代码实现 包含了书上第二章到第八章的大部分代码实现和作者笔记,全由作者本人手动实现,难免有错误的地方,请大家谨慎参考 ,非常欢迎对错误的指正。 如果有帮助的话请Star一下,对作者帮助很大,谢谢!☆358Updated 2 years ago
- Parallel Prefix Sum (Scan) with CUDA☆24Updated last year
- FlagGems is an operator library for large language models implemented in the Triton Language.☆673Updated this week
- CPU Memory Compiler and Parallel programing☆26Updated 9 months ago
- ☆150Updated 8 months ago
- ☆141Updated last year
- 注释的nano_vllm仓库,并且完成了MiniCPM4的适配以及注册新模型的功能☆55Updated last month
- Some common CUDA kernel implementations (Not the fastest).☆25Updated last month
- A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.☆33Updated last year
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆49Updated 2 years ago
- ☆103Updated 4 months ago