Text Classification
PEFT
lora
document-question-answering
structured-decisions
calibration
synthetic-evaluation
Instructions to use DoccyHealth/Solomon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use DoccyHealth/Solomon with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
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Solomon v1.1: BF16 default, fp32 reference and int8 option, ranked evidence pointers, entity type removed
Archer +1: Claude Opus 5 (1M context)- Adapter d122466d and trained heads f766d752 (one merged yes/no head serves yes/no and multi-label) - Per-type readout temperatures (solomon-readout-temperature-v3), fitted on real dev from BF16 scores - One serving binding per precision (bf16 default, fp32, int8), identities captured live on the serving image - Experimental ranked evidence pointers (top 3 with scores; none when the answer is not stated) - Entity answer type removed from the API (old requests are refused with the replacement) - Model card rewritten with v1.1 measurements, accepted gate misses and AI-labelled evaluation disclosure - Live acceptance: BF16 83/83 on B200, int8 subset 38/38 Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>d144fee