@XunzhuoLiu: Introducing Decision 2.0: our newest state-of-the-art decision models, open in every size from 0.6B to 27B HF collectio…

X AI KOLs Timeline Models

Summary

vllm-sr introduces Decision 2.0, a collection of state-of-the-art open foundation decision models released in sizes ranging from 0.6B to 27B parameters on Hugging Face.

Introducing Decision 2.0: our newest state-of-the-art decision models, open in every size from 0.6B to 27B HF collection : https://huggingface.co/collections/vllm-sr/decision-20… #OpenSource #Decision #Jev #LLM
Original Article
View Cached Full Text

Similar Articles

@NFT_Chen: Incredible! Full-size open-source from 0.8B to 27B! The world's strongest decision model StartLux-Decision stuns the field — compute spent only where it matters! StartLux Labs just released StartLux-Decision (covering 0.8B, 2B, 4B, 9B, 27B), completely rewriting the decision model…

X AI KOLs Timeline

StartLux Labs has open-sourced the full-size StartLux-Decision model family (0.8B~27B), supporting Instant single-forward fast answers and AutoThink adaptive reasoning, with its original RLCD² reinforcement learning method dramatically boosting reasoning efficiency — holding a dominant lead on the Decision Index 0.3 leaderboard.

vllm-sr/d3

Hugging Face Models Trending

vllm-sr/d3 是 Decision 3.0 的 27B 多模态基础决策模型,支持文本、JSON、图像与视频输入,可在一次调用中完成选择、是非与评分决策并输出概率,无需生成文本。它在 Jev Decision Index 上以 66.3 排名官方文本榜第一,较 Decision 2.0 提升 10.4,并在 AMD MI325X 上实现 27 req/s 的服务性能。

internlm/Intern-Decision 4B and 0.8B

Reddit r/LocalLLaMA

Intern-Decision 4B and 0.8B are multimodal structured decision models fine-tuned from Qwen3.5-4B, designed to return answer distributions for multiple questions in a single forward pass with strong benchmark performance.