Default extraction to the fine-tuned MiniCPM-V Hub checkpoint.
Codex+1: Codex
c1a5fb4
Point DEFAULT_HF_REPO at build-small-hackathon/blood-test-minicpmv-4_6-medreason so local runs and the Space use our MedReason SFT model without extra env vars.
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
Remove dead chat code and obsolete planning docs.
Drop unwired results chat, hosted API extractor, experimental medreason script, and stale markdown. Trim interpretation rendering to patterns_html only and make model path tests cache-independent.
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
Expand lab knowledge graph to 107 markers with curated YouTube videos.
Codex
797f2cf
Add marker video catalog and expansion script so all canonical markers resolve in the graph; improve trace panel interactions and llama.cpp vision extraction paths; update deployment docs and tests.
Polish section 3 trace panel and Space startup reliability.
Show pending pipeline steps before analysis starts, simplify the trace
header copy, suppress Gradio asyncio log noise, and extend ZeroGPU time
for first model download plus inference. Codex collaborated on these UI
and deployment updates.
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
Add agent trace panel, vision extraction, and local Transformers backend.
Replace chat preview with a scrollable pipeline trace, restore PDF/image
vision intake, default to local Transformers extraction, expand the marker
knowledge base, and track hackathon logo assets for deployment. Codex
collaborated on the trace UI, vision pipeline, and deployment workflow.
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
Co-authored-by: Codex <chatgpt-codex-connector[bot]@users.noreply.github.com>
feat: working Modal LoRA fine-tune + llama.cpp-on-ZeroGPU backend
Codex
c3071ca
- modal_finetune: fix image deps + ms-swift 4.x CLI; pull weights from HF (USE_HF) instead of the slow ModelScope mirror; raise timeout to 6h. Full --n 4000 run trains and saves adapters.
- add EXTRACTOR_BACKEND=llamacpp-gpu backend (llama.cpp on ZeroGPU) for the Llama Champion badge; inert under the default zerogpu path.
- optional 4-bit NF4 load for the Transformers path (ZEROGPU_QUANTIZE), lower VRAM.
LocalServerExtractor POSTs to a local llama-server with thinking disabled (works for
MiniCPM-V 4.6, which llama-cpp-python's bundled llama.cpp is too old to load). The parser
now strips <think> blocks and accepts a bare JSON array. EXTRACTOR_BACKEND=local routes to
the server backend. Ignore models/ and *.gguf.
feat(extraction): GBNF grammar + local MiniCPM-V (llama.cpp) backend + factory
