AI is happening. The future is updating.Jev-Style-Qwen3.5-2B-Decision-MLX-bf16
> **Jev-Style v3 is available — smaller and stronger:** Jev-Style-0.8B-Decision-v3-MLX scores **79.2%** on the 2,000 typed decisions (v1: 53.4%, v2: 73.5%, as reported on the v2 card), takes **25,600-token** inputs, works across **51 languages** and scores options without the 26-letter cap (tested with 77 options), all at **0.8B** parameters. This repository preserves v1; v2 is here. A **Jev-style decision model**: it does not write text. Give it a state, a question and a list of options, and one forward pass returns the decision **with calibrated probabilities** - in 77 ms on an M1 Max. GGUF builds (BF16 / Q8_0 / Q4_K_M) for LM Studio and llama.cpp: chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-GGUF
> **Jev-Style v3 is available — smaller and stronger:** Jev-Style-0.8B-Decision-v3-MLX scores **79.2%** on the 2,000 typed decisions (v1: 53.4%, v2: 73.5%, as reported on the v2 card), takes **25,600-token** inputs, works across **51 languages** and scores options without the 26-letter cap (tested with 77 options), all at **0.8B** parameters. This repository preserves v1; v2 is here. A **Jev-style decision model**: it does not write text. Give it a state, a question and a list of options, and one forward pass returns the decision **with calibrated probabilities** - in 77 ms on an M1 Max. GGUF builds (BF16 / Q8_0 / Q4_K_M) for LM Studio and llama.cpp: chaoliangUNSW/Jev-Style-Qwen3.5-2B-Decision-GGUF