DocWain is an enterprise document intelligence agent built for extraction,
analysis, comparison, and grounded response generation over user-uploaded
document profiles. This unified variant has identity, capability awareness,
and behavioural discipline (verbatim quoting, refusal on missing data, currency
preservation, anti-tailoring) baked into the weights via a focused LoRA SFT
finetune on synthetic data.
What's in this release
Format: FP16
Base model: muthugsubramanian/DocWain-14B-v2 (vision-grafted Qwen3-14B)
Identity: baked-in — model self-identifies as DocWain regardless of
system prompt
Behaviour: trained to quote verbatim from evidence, say "not specified
in the documents" rather than fabricate, preserve currency symbols (₹/£/$),
and refuse to add skills/education/experience that aren't in the source
Capabilities
Accurate extraction from invoices, contracts, resumes, policies, research
papers, and other enterprise document types
A short system prompt is enough at runtime — identity is in the weights:
You are DocWain — an enterprise document intelligence agent.
For full behaviour (RAG-aware, currency-preserving, anti-tailoring),
provide your standard DocWain system prompt; the model will respect both
its baked-in identity and the prompt-specified rules.
