LDLINGLINGLING / nano_vllm_noteLinks
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
☆155Updated 5 months ago
Alternatives and similar repositories for nano_vllm_note
Users that are interested in nano_vllm_note are comparing it to the libraries listed below
Sorting:
- A light llama-like llm inference framework based on the triton kernel.☆169Updated 3 weeks ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆114Updated 6 months ago
- 分享AI Infra知识&代码练习:PyTorch/vLLM/SGLang框架入门⚡️、性能加速🚀、大模型基础🧠、AI软硬件🔧等☆215Updated this week
- learning how CUDA works☆373Updated 11 months ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆64Updated last year
- The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)☆317Updated last year
- ☆40Updated 8 months ago
- Flash Attention from Scratch on CUDA Ampere☆122Updated 5 months ago
- Puzzles for learning Triton, play it with minimal environment configuration!☆613Updated last month
- Codes & examples for "CUDA - From Correctness to Performance"☆121Updated last year
- This repository organizes materials, recordings, and schedules related to AI-infra learning meetings.☆317Updated this week
- High Performance LLM Inference Operator Library☆603Updated last week
- how to learn PyTorch and OneFlow☆481Updated last year
- 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。☆491Updated 3 months ago
- A PyTorch-like deep learning framework. Just for fun.☆158Updated 2 years ago
- UltraScale Playbook 中文版☆125Updated 10 months ago
- A CUDA tutorial to make people learn CUDA program from 0☆266Updated last year
- ☆116Updated 3 weeks ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆312Updated 7 months ago
- ☆117Updated 4 months ago
- Summary of some awesome work for optimizing LLM inference☆172Updated 2 months ago
- Examples of CUDA implementations by Cutlass CuTe☆270Updated 7 months ago
- ☆152Updated 7 months ago
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆283Updated 10 months ago
- From Minimal GEMM to Everything☆101Updated last month
- A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.☆39Updated last week
- Course materials for MIT6.5940: TinyML and Efficient Deep Learning Computing☆68Updated last year
- Triton Documentation in Chinese Simplified / Triton 中文文档☆102Updated last month
- Code release for book "Efficient Training in PyTorch"☆125Updated 9 months ago
- my cs notes☆57Updated last year