JEV-35B decision model with calibrated probabilities trends on Hugging Face
autotrust · hf · 2026-10-12
autotrust/JEV-35B, a text-classification model built on Qwen3.5 MoE, is trending on Hugging Face. It targets "system-one" typed decisions with calibrated probability outputs, supports image-text-to-text input, and ships in safetensors format within the noul/jev ecosystem.
More from Models
- ChatGPT glitches on iPhone 15 Pro whenever it renders image comparisons — adam0672 · 2026-10-12
- Claude reportedly planned and coded a full video production in 2.5 hours — ZeroStateReflex · 2026-10-12
- KV caching explained: why it shapes GPU memory and drove the shift to GQA and MLA — blaizedsouza · 2026-10-12
- Claude Opus 5.5 vs GPT-6.1 Sol hands-on: this time GPT wins the vibe-check — CodeByPoonam · 2026-10-12
- DeepMind's AlphaProof Nexus reportedly cracks 9 Erdős problems, 44 OEIS conjectures — kimmonismus · 2026-10-12
- Codex keeps stalling on legit debugging over cybersecurity guardrails, user complains — Al_Grigor · 2026-10-12