Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!
Real browser automation with local GLiNER2 inference and open weights. Work in progress. Contributions welcome.
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.
Curated Ideogram 4.0 prompts and image examples — typography, photorealistic portraits, product/UI mockups, and model comparisons. By Evolink.
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
WicaraLLM is our Indonesian Small Language Model (56M parameters), built from scratch and trained on a 1.3B-token Indonesian corpus. Engineered to run efficiently on a single laptop GPU with just 6 GB of VRAM, it combines GQA, RoPE, SwiGLU, and RMSNorm, with supervised fine-tuning for conversational capabilities
OpenMayhem is an open-source and decentralized inference router for consumer & pro hardware. Providers earn, users/agents access cheap inference.
Open-source alternative to TypeSafe's Jev: a System One style model layer that gives typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with honest benchmarks
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.
One embedding space for text, image, video, audio, thermal, motion, and touch. Open weights, self-hostable.
A community-maintained catalog of open, low-filter, and community-reported AI video models, checkpoints, adapters, and endpoints.
Find what open-weight Large Language Model (LLM) can fit into your hardware and run it
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.
A community-maintained catalog of open and low-filter AI image models, checkpoints, and local inference resources.
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.
Redrob Image: open-weight text-to-image model by Redrob. Free to use, free for commercial use (Apache-2.0).
Park and restore model KV caches for local AI agents. Open-weight models, native Hermes integration, and portable backend routing.
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