labqoat/qev-0.8b
Image-Text-to-Text • 0.9B • Updated • 5
A 0.8B System One decision model: calibrated answers in one forward pass. Weights, MLX and GGUF builds, and our benchmarks.
Note The model, qev.py (fast CUDA engine + transformers) and qev_server.py (System One HTTP API).
Note Apple silicon: MLX bf16 and 8-bit.
Note llama.cpp: GGUF bf16 and Q8_0.
Note Jev Skills: eval-only benchmark, 10,168 items in agents, rules, games/spatial, safety, judging