Havuz

Run models larger than your RAM or VRAM by streaming MoE experts from SSD. Built on llama.cpp.

Local inference for diffusion language models (LLaDA, Dream), written in Mojo

🧱 Experimental library for building inference engines

ReAlign models instantly, on demand. Per-request alignment for verified users and channels, or Always On. Use directly or with Hermes, OpenC

Bilingual English and Mandarin text to speech in C++ and GGUF. Voice design, cloning, direction and experimental voice conversion. Vulkan ba

Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine f

Berth is a lightweight GPU resource manager written in Go. It controls which applications get access to your GPU, when they get it, and how

Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning

Reef, agent isteklerini sunma, feedback toplama, öğrenme döngüsü yürütme ve kabul edilen güncellemeleri sürümleyerek dağıtma işlevlerini bir araya getiren Python altyapısıdır.

Neden yükseliyor · Sürekli öğrenen agent'lar gündemde ve Reef, inference'tan feedback'e, eğitimden sürüm dağıtımına uzanan altyapıyı tek projede toplamayı hedefliyor. Verilen ölçümlerde 28 günde 6.122 yıldız, 362 commit ve 19 farklı yazar güçlü ilgi ve geliştirme faaliyeti gösteriyor; ancak bu veriler tek başına üretim kullanımını veya teknik başarıyı kanıtlamıyor.

Run MoE models bigger than your RAM. Frontier-size MoE on a phone, laptop, edge. Lossless, on stock llama.cpp. An adaptive streaming optimiz

Run Laya, the open-source Jev-compatible System-1 decision model, from Node.js / TypeScript via ONNX Runtime

NeMo-Speech.cpp is a lightweight C++ inference runtime for Speech models

Agent Mesh

Serve your models fast on your own infra in 3 steps.

A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interf

Kyojin: open-source engine that runs the largest open models on one mini PC or one graphics card, about 2× faster than llama.cpp. AMD (ROCm)

On-device AI SDKs for iOS, macOS, Android, and the web. Small, focused models that run fully offline in Swift, Kotlin, and JavaScript with C

llama.cpp fork that abliterates at inference

Benchmark local LLM serving by replaying real agent trajectories

Feel how fast a local LLM runs before you buy the hardware

pooled, birden fazla cihazın tarayıcı GPU’larını WebRTC üzerinden birleştirerek büyük open model’leri birlikte çalıştırmasını sağlayan bir LLM inference projesidir.

Neden yükseliyor · 27 günlük yaşına göre 461 yıldız ve son 28 günde 90 commit güçlü bir erken ilgi ve geliştirme temposuna işaret ediyor. Tarayıcıdan katılımla cihazları birleştirme fikri, yerel inference ve donanım paylaşımı ilgisini çekebilir; ancak yalnızca 2 farklı yazar olduğundan aktivite geniş bir katkıcı topluluğunun kanıtı değil. İlginin nedenini kesin olarak belirlemek mümkün değil.

One-command deployment of open-source world models on AWS. Each model is a self-contained cartridge served behind a uniform API on EC2 or Sa

⚡ Native MLX Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models, TurboQuant KV cache co

From PyTorch model to end-to-end TensorRT inference experience in two commands—AI-native, cross-platform, and built for the best possible us

Open-source control panel for the real llama.cpp: see where a model lands in your VRAM before loading, every llama-server flag per model, on

AI Gateway

Frontier: A Discrete-Event Simulator for Modern LLM Serving

Native AI inference for PHP 8.3+ - run ONNX, GGUF (llama.cpp) and RubixML models directly in your PHP process via FFI. Chat, streaming, embe

SDK-first, independently maintained SemIf fork for fast, self-hosted semantic decisions.

Realtime dashboard for the Halogen LLM inference server

An open-source inference engine for AI functions in SQL

ScribeCrate: open-source, self-hosted Whisper speech-to-text server powered by faster-whisper. OpenAI-compatible transcription and English t

Zero-leak online detection of LLM decoding corruption and Free Web Search for your AI agents! Catch repetition loops, language drift and gar

Production-ready, bleeding-edge, upstream-first vLLM Docker image for the NVIDIA DGX Spark (GB10 / sm_121a), verified against real models on

WHIRL (Windows HIP Inference for RDNA LLMs): native Windows C++/HIP LLM inference engine for the AMD Ryzen AI Max+ 395 (Radeon 8060S) and Ra

Runs Hugging Face ONNX models on any Nx backend, with no per-architecture code

Your AI intranet: network the computers you already own for inference and training.

An agentic system that auto-optimizes LLM workloads on AMD GPUs.

Camelid: a Rust-native local inference backend with evidence-gated model compatibility.

Ultrafast Qwen3-TTS: sub-50 ms time-to-first-audio at 10 requests per second.

ModelSphere is an open-source LLM inference infrastructure designed to make production-grade model serving simple, efficient, and continuous

AI inference, packed simply. A blazing-fast, zero-dependency WebGPU runtime to run GGUF models directly in the browser. Features a symmetric

Run a 110B on a 2016 PC with 16 GB RAM. Know your tok/s before you download. Placement beats budget: predicts speed + memory fit for any GGU

CPU-only, pure-Rust implementation of LiquidAI's LFM2.5-8B-A1B LLM

SGLang Docker image for AMD Strix Halo (gfx1151 / Radeon 8060S)

Fast KV-cache quantization for Apple Silicon (MLX) — 43 research-adapted compression methods with Metal kernels

LLM inference engine for AMD RDNA4 — Rust + Vulkan compute shaders, gguf & native FP8.

Spark-optimized MLX LM for local inference and deployment on Apple Silicon

Proof of concept: turn old Android phones into an LLM inference cluster. ADB zero-touch provisioning, llama.cpp on each phone, OpenAI-compat

Inference-native Tokenmaxxing Agent Harness for Loop Engineering