LLM inference in C/C++

Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models

Diffusion model(SD,Flux,Wan,Qwen Image,...) inference in pure C/C++

llama and other large language models on iOS and MacOS offline using GGML library.

Go manage your Ollama models

INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization

Suno AI's Bark model in C/C++ for fast text-to-speech generation

This custom_node for ComfyUI adds one-click "Virtual VRAM" for any UNet and CLIP loader as well MultiGPU integration in WanVideoWrapper, managing the offload/Block Swap of layers to DRAM *or* VRAM to maximize the latent space of your card. Also includes nodes for directly loading entire components (UNet, CLIP, VAE) onto the device you choose

Self-evaluating interview for AI coders

Running any GGUF SLMs/LLMs locally, on-device in Android

Run inference on MPT-30B using CPU

Port of MiniGPT4 in C++ (4bit, 5bit, 6bit, 8bit, 16bit CPU inference with GGML)

CLIP inference in plain C/C++ with no extra dependencies

Large Language Models for All, 🦙 Cult and More, Stay in touch !

Inference Vision Transformer (ViT) in plain C/C++ with ggml

llama.cpp (GGUF LLMs) and llava.cpp (GGUF VLMs) for ROS 2

A ggml (C++) re-implementation of tortoise-tts