Fetching metadata from the HF Docker repository...
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Upgrade default model to MiniCPM-V 4.6; compact output panel into tabs
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Deploy student-first exam coach
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Docs+engine: drop VoxCPM2/read-aloud to match shipped app (README card + study_engine)
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Perf: resident MiniCPM-V + boot warm-up + live status + honest fallback reasons (app.py & study_engine.py together)
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Llama Champion: selectable llama.cpp engine (small MiniCPM4 0.5B GGUF via llama-cpp-python, CPU)
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MiniCPM-V-4.5 is now the primary engine (text + photo); drop 4.1-8B and 0.5B/1B; Nemotron-4B alternate; README to match
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One text model at a time (24GB safety) + voice gating + pinned model metadata
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Prefetch model weights on CPU before the GPU call so a cold secondary model no longer times out the ZeroGPU budget
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Add drill answer keys (validated on staging)
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Add VoxCPM2 read-aloud (5th model; validated on staging)
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Add download/print packet button (validated on staging)
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Add model picker: MiniCPM-8B / NVIDIA Nemotron-4B / MiniCPM5-1B (validated on staging)
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Add MiniCPM-V syllabus-snap (vision) + torchvision (validated on staging)
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Live coach timer: ship coach_state + UI together (validated on staging)
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Add 'what to skip' triage line
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Isolate GPU call (graceful fallback on worker failure) + skip ZeroGPU preload
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Resilient generate: never hard-crash on a model-path error
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Sync from GitHub: triage time-budget fix, MiniCPM-driven drills, UI polish, sub-4B model option, LICENSE
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[Codex] Add optional Nemotron runway and public trace
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[Codex] Preserve generated markdown in Space
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[Codex] Gate sample generation for final Space
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Sanitize MiniCPM reasoning output with Codex
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Make Space product-first and ZeroGPU-ready with Codex
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Focus MiniCPM demo and readable UI with Codex
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Polish UI and hardware honesty with Codex
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Update llama runtime evidence from Codex 7fb3aaf
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Deploy Exam Panic Rescue staging Space
