open-weights

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.

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

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.

Hemmingway-1: a 27B model that writes the way a person writes. Open weights, free for non-commercial use (CC BY-NC 4.0); commercial use by agreement.

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.

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.

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

One embedding space for text, image, video, audio, thermal, motion, and touch. Open weights, self-hostable.

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.

Open-weight only, video-aware podcast dubbing with ASR alignment, diarization, LLM translation, and voice-cloned TTS. Local inference.

A community-maintained catalog of open and low-filter AI image models, checkpoints, and local inference resources.

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.

Did the agent actually finish? Inspectable GLiNER2.5-Decide fine-tuning on task completion and evidence spans.

每日自动更新的大模型排行榜（LLM Leaderboard）：聚合 LMArena 人类盲测偏好与 OpenRouter 定价，含综合榜、按预算选型榜、价格榜、长上下文榜、开源权重榜 5 个维度。