autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training
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autotrust/JEV-27B-VL: a decision model that learned to see without a single image of training
autotrust
• • 123autotrust/JEV-27B: fast, calibrated decisions and full reasoning from one open model
autotrust
• • 47New in llama.cpp: Decision Models
ggml-org
• • 93LightOnOCR-3: High-Performance OCR and Layout Extraction in One Model
lightonai
• • 26NVIDIA Kumo Tabular Sets a New Accuracy-Efficiency Frontier for Tabular Prediction
nvidia
• • 88Carbon-A: Finding genes in known and unknown genomes
HuggingFaceBio
• • 20Falcon-Emirati: When an LLM Learns the Dialect, the Culture, and the Nuance
tiiuae
• • 20Falcon OCR Arabic: 270M Parameters State-of-the-Art Arabic OCR
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• • 16Open-sourcing AstaBrief, the fast report-generation model in Asta
allenai
• • 28Darwin-27B-ZTC: A Single-Pass Judge and a Quantitative Look at Its Calibration
FINAL-Bench
• • 12Universal Modder: A Practical Guide to AI Game Modding
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• • 7Leading the System One Mosaic Benchmark: What Darwin-27B-ZTC-v2's #1 Means
FINAL-Bench
• • 6Uncensor any LLM with abliteration
mlabonne
• • 930KV Caching Explained: Optimizing Transformer Inference Efficiency
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• • 428OpenAI Decisions API vs. Jev: A Practical Guide to Decision Models
a2aprotocol
• • 6Decoding LLM Alignment: A Concise Guide for GRPO and its variants
Sneha7
• • 5ViDiHand: The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction
Xingang-Pan
• • 4EuroLLM-9B
eurollm-team
• • 144YODAS v3: A 1 Million Hour Dataset for the Next Generation of Open Voice AI Research
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• • 36FiftyOne Now Reads LeRobot: 50 Embodiments, 497 Episodes, One Indexed Dataset
harpreetsahota
• • 4