Commit History

Update README.md
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Running
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demo v3: deterministic textbook diagrams — neural networks + gradient descent, clean templated boards
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Improve whiteboard density and callouts
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Tighten first-load UI layout
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Keep Fable directive notes within three steps
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Fix current-source lessons and compact board layout
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Enrich science whiteboard templates
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Enrich whiteboard diagrams and responsive board
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Clarify orbit and gradient diagrams
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Improve whiteboard diagram quality
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demo v2.2: grouped text stays together, physically accurate orbit trajectory
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text groups merge into notes blocks; curves must be shape-true in screen coords
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demo v2.1: expanded board fits the frame, caption strip always visible
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expanded board fits the viewport (caption strip stays visible)
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sync: env-gated tts endpoint (inert without TUTORI_TTS_DEMO)
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demo video v2: teacher's-studio UI, MiniCPM coach, live research, expanding board, 16.9B stack
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profile personalizes, never vetoes: free topic switches, honest coach goals, notes clear on new lesson
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no more slivers: min shape dims + vertical label fit
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badges flow left, clear of the HF mini-header pill
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goal/start dots snap to the curve's actual lowest/highest point
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polygon labels fit the shape interior (chord-width shrink)
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board polish: highlights hug measured text, arrows chase displaced labels, hypotenuse label on longest side
f6da12e
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above-the-fold board: header:mini + compact chalk header; field notes article linked
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fixes: shrink-to-fit shape labels, dark-mode-proof text, responsive stack, coach echo guard
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v2: teacher's-studio design, MiniCPM5 planner+coach, expanding board, field notes
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README: full Well-Tuned scorecard — two artists, live A/B, honest retirement
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diagnostic: defer-phase timing logs
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gemma artist: fit 59s budget — TTS overlaps stream, 3-4 steps, shorter renders
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dual board artist: TUTORI_BOARD_MODEL=gemma mounts LoRA on the teacher (ZeroGPU-compatible)
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nemotron: stop on <|im_end|> + first-balanced-JSON parse (model output verified good)
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nemotron: enable_thinking=False to match tuned adapter training rendering
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README: honest planner-fallback note (ZeroGPU Mamba prefill constraint)
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README: Well-Tuned badge — published board-artist LoRA + dataset, honest flag-off story
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revert to torch 2.11: mamba kernels can't JIT within ZeroGPU turn budget; board model stays flag-off
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pin torchaudio/torchvision to torch 2.10 ABI
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torch 2.10 + fused mamba kernels: naive Mamba scan OOMs ZeroGPU on Nemotron generate
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fix nemotron_generate: unwrap BatchEncoding from apply_chat_template (also un-breaks Nemotron planner)
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debug: full traceback on board render failure
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pin peft 0.18.1 (0.19.x adapter-load path needs newer transformers WeightConverter API)
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board model: mount LoRA adapter lazily inside GPU worker (ZeroGPU has no CUDA at import)
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board-model experiment: flagged Nemotron LoRA board renderer (off by default)
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Upload board_check.py with huggingface_hub
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Upload engine.py with huggingface_hub
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Upload folder using huggingface_hub
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Upload README.md with huggingface_hub
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Upload README.md with huggingface_hub
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Upload tutori_demo.mp4 with huggingface_hub
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Upload folder using huggingface_hub
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Upload folder using huggingface_hub
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Delete pre-requirements.txt with huggingface_hub
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