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
☆55Updated last month
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:
- ☆103Updated 3 months ago
- Implement Flash Attention using Cute.☆95Updated 8 months ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆61Updated 10 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆106Updated 2 months ago
- ☆138Updated last year
- ☆147Updated 6 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆60Updated this week
- Examples of CUDA implementations by Cutlass CuTe☆229Updated 2 months ago
- LLM Inference with Deep Learning Accelerator.☆50Updated 7 months ago
- A tiny yet powerful LLM inference system tailored for researching purpose. vLLM-equivalent performance with only 2k lines of code (2% of …☆259Updated 3 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆212Updated last month
- A PyTorch-like deep learning framework. Just for fun.☆157Updated last year
- Summary of some awesome work for optimizing LLM inference☆104Updated 3 months ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆42Updated 3 months ago
- [DAC'25] Official implement of "HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference"☆70Updated 3 months ago
- High performance Transformer implementation in C++.☆132Updated 7 months ago
- ☆143Updated 2 months ago
- ☆98Updated last year
- Since the emergence of chatGPT in 2022, the acceleration of Large Language Model has become increasingly important. Here is a list of pap…☆268Updated 6 months ago
- A light llama-like llm inference framework based on the triton kernel.☆151Updated last month
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆109Updated 4 months ago
- Optimize softmax in triton in many cases☆21Updated last year
- A prefill & decode disaggregated LLM serving framework with shared GPU memory and fine-grained compute isolation.☆108Updated 3 months ago
- Compare different hardware platforms via the Roofline Model for LLM inference tasks.☆112Updated last year
- A lightweight design for computation-communication overlap.☆165Updated this week
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆75Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆40Updated 6 months ago
- ☆78Updated 4 months ago
- A practical way of learning Swizzle☆25Updated 7 months ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆58Updated 2 weeks ago