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AI Models 84759
- Qwen3-VL-8B-Instruct-abliterated-v2.0-i1-GGUF↗
mradermacher
- RSR-27B-GGUF↗
mradermacher
- SmolLM2-360M-Instruct-i1-GGUF↗
mradermacher
- una-xaberius-34b-v1beta-i1-GGUF↗
mradermacher
- UnifiedReward-2.0-qwen3vl-8b-i1-GGUF↗
mradermacher
- Verdict-DADA-8x7B-i1-GGUF↗
mradermacher
- QwenTTS-he-1.7B↗
notmax123
- NuExtract3-W4A16↗
numind
🖥️ API / Platform | 📑 Blog | 🗣️ Discord | 🛠️ GitHub It combines strong **structured information extraction** with high-quality **image-to-Markdown** conversion, making it suitable for extraction pipelines, OCR, and RAG preprocessing for all types of documents such as scans, receipts, forms, invoices, contracts or tables. We benchmarked NuExtract on NuMind's internal structured benchmark, measuring model's performances on ~600 documents of diverse types including invoices, movie posters or floor plans. These documents and their ground-truth cover diverse use-cases testing model visual understanding, OCR, reasoning and ability to handle long input and output contexts. We plan to open-source this benchmark in the coming weeks, along with a extensive leaderboard including most popular open-weight and closed-sourced APIs and a Python library allowing to easily measure model performances on structured extraction.
- Cosmos-1.0-Prompt-Upsampler-12B-Text2World↗
NVIDIA
- Nemotron-Cascade-2-30B-A3B↗
NVIDIA
We're excited to introduce Nemotron-Cascade-2-30B-A3B, an open 30B MoE model with 3B activated parameters that delivers strong reasoning and agentic capabilities. It is post-trained from the Nemotron-3-Nano-30B-A3B-Base. Nemotron-Cascade-2-30B-A3B achieves ***gold medal*** performance in both the 2025 International Mathematical Olympiad (IMO) and the International Olympiad in Informatics (IOI). It operates in both **thinking** and **instruct** (non-thinking) modes. Benchmark Nemotron-3-Nano-30B-A3B Nemotron-3-Super-120B-A12B Qwen3.5-35B-A3B Nemotron-Cascade-2-30B-A3B Requires vLLM version >= 0.17.1. The following will create API endpoints at `http://localhost:8000/v1`:
