A hierarchical inference engine for frontier MoE models: hot experts on the GPU (CUDA, Vulkan), warm ones in RAM, cold ones streamed from NVMe. Written in C, runs on the hardware you already own.
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DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
- avx2
- c99
- cpu-inference
- deep-learning
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca
- llama
- alpaca
- chinese
- vicuna
Modern, secure, portable, multiprotocol bootloader and boot manager.
- bootloader
- bios
- x86
- x86-64
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
llama and other large language models on iOS and MacOS offline using GGML library.
- ai
- ggml
- gpt-2
- gptneox
37 tok/s from Qwen3-Next-80B (48 GB) on a 32 GB laptop, 24 without drafts vs 2.8 for llama.cpp; reading 62 vs 16 tok/s. Faster than llama.cpp on all 13 models compared in Q4_K_M. LLMs bigger than your RAM, pure C, CPU or GPU.
- avx2
- c
- cpu-inference
- gguf
Source code of Local Code, a private AI agent for Mac, iPad and iPhone. Runs DeepSeek 4.1 on device, with Python, Node.js and a shell built into the app.