One embedding space for text, image, video, audio, thermal, and IMU. Open weights, self-hostable.
-
Updated
Jul 29, 2026 - Python
One embedding space for text, image, video, audio, thermal, and IMU. Open weights, self-hostable.
OpenMayhem is an open-source and decentralized inference router for consumer & pro hardware. Providers earn, users/agents access cheap inference.
Companion code for the Manning book 'LLM Customization and Fine-Tuning.' Adapt open-weights LLMs end to end: prompting and RAG, LoRA/QLoRA, full SFT, distillation, and DPO/RLHF alignment.
Local-first desktop app for running uncensored, refusal-ablated language models. Tauri + Rust + Ollama. 12MB installer, zero telemetry.
Structured YAML catalog of 4,587 AI models across 95 providers — pricing, context windows, modalities, capabilities. First-party data with TypeScript types and Zod validation.
See when Claude Code reroutes your request to a different model — and choose the fallback yourself. 123-line local proxy, zero deps.
Open-weight only, video-aware podcast dubbing with ASR alignment, diarization, LLM translation, and voice-cloned TTS. Local inference.
Frontier-Grade Open Weights — フロンティア級のオープンウェイトモデルは、開かれたのか / They matched the frontier. But no one can hold them.
FastMCP fleet MCP server for diffusion LMs (dLLM). DiffusionGemma on Goliath RTX 4090 — batch inference, HLE-shaped reasoning, ~200–400 tok/s. Doc phase; llama-diffusion-cli sidecar next. Complements local-llm-mcp.
tiny tool, big videos. topic in, video out. no film degree required. webapp, windows app and mcp server for agent use
Pre-registered adversarial robustness study testing whether model-initiated session termination provides defensive coverage beyond refusal training against multi-turn attacks. Minimal Python harness with scorer and analysis pipeline. Pilot on Gemma 4 26b. Preliminary findings in FINDINGS.md.
Independent technical analysis comparing open-weights GLM-5.2 to the proprietary frontier: benchmarks, blind creative-writing eval, local-inference viability on Apple Silicon
Open-weights image generation models — Flux family.
GLM-5.2 Released: 1 Million Usable Context Window, MIT Open-Source Licensing, & Claude Code Integration Guide.
An independent, evidence-graded read on how much you own the open models and inference providers you rely on.
API Evangelist profile of Mixedbread - embeddings and reranking API
Physical Intelligence — foundation models for robotics
Local LLM wrapper that exposes auditable internal-state metadata (token confidence, refusal-direction projection) alongside OpenAI-compatible responses, for high-assurance decision support.
Collect and refine high-quality prompts for Ideogram 4.0 to improve your image generation results.
AI-personalized courses for any topic — text or photo. Gemma 4 Good Hackathon submission.
Add a description, image, and links to the open-weights topic page so that developers can more easily learn about it.
To associate your repository with the open-weights topic, visit your repo's landing page and select "manage topics."