Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
MODA: open fashion retrieval benchmark and models by Hopit AI. MODA (203M, open source), MODA Pro Lite (213M, open weights), MODA Pro (hosted). Full-corpus benchmarks vs FashionSigLIP, SigLIP-SO400M and ZooClaw — one harness, losses shown. #1 open model on LookBench.
One embedding space for text, image, video, audio, thermal, motion, and touch. 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.
Open-weight only, video-aware podcast dubbing with ASR alignment, diarization, LLM translation, and voice-cloned TTS. Local inference.
A real engineering language model running fully offline on an $8-class ESP32-S3 — open weights, native C, real-silicon benchmarks.
An independent, evidence-graded read on how much you own the open models and inference providers you rely on.
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.
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
Introducing Muse Glimmer: open-weight 30B agentic multimodal model that runs on your device (Meta). Interactive local agent lab + guide. Apache 2.0 · on-device AI · function calling
A community-maintained catalog of open, low-filter, and community-reported AI video models, checkpoints, adapters, and endpoints.
Independent technical analysis comparing open-weights GLM-5.2 to the proprietary frontier: benchmarks, blind creative-writing eval, local-inference viability on Apple Silicon
Run a POC on any open-weight model and validate your GPU needs in one session. Sizes VRAM, provisions the right instance, benchmarks it on vLLM, and tears everything down so you know what fits, how fast it runs, and what it costs before you commit.
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.
Local LLM wrapper that exposes auditable internal-state metadata (token confidence, refusal-direction projection) alongside OpenAI-compatible responses, for high-assurance decision support.
A performance-first build manual for agentic AI on open-weight models: 27 sections, 18 diagrams, 99 primary-source links, C4 architecture docs, CI-verified.
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