Arghya Mukherjee

A small (1.7B parameter), self-hostable model that parses natural-language shopping queries into structured constraints — trained for under $10 in total compute + API cost. Beats every tested frontier model on the primary held-out benchmarks; an honest, independent fresh-query test below shows this advantage does not hold universally — read that section before relying on any headline number. Model weights + model card: https://huggingface.co/arghya2030/commercecore-qwen3-1.7b Source code + docs: https://github.com/arghya05/commercecore Status: research / proof-of-concept. Read "What this is NOT" before using in production. Ecommerce search boxes get queries like "black waterproof trainers…

A separate project from arghya2030/commercecore-qwen3-1.7b. No shared weights, no shared training run, no shared serving process. Status: research checkpoint, a rejected hypothesis, preserved as evidence. This adapter is NOT the model of record for relevance — arghya2030/commercecore-expansion-match-v1 (v1, shared adapter, 0.526 accuracy) remains the best real, adopted result. Read why this one is published anyway, below. A QLoRA rank-16 adapter on an independently-pinned original Qwen/Qwen3-1.7B base, testing the fifth of five distinct hypotheses for why the shared adapter's matchrelevance accuracy (0.526) falls short of the strongest tested frontier model, claude-sonnet-5 (0.583). Two…

A separate project from arghya2030/commercecore-qwen3-1.7b. No shared weights, no shared training run, no shared serving process. That release remains frozen and untouched. Status: research checkpoint, real partial progress, not a full win. Read the real results below before using this in place of a frontier model. A QLoRA rank-16 adapter on an independently-pinned original Qwen/Qwen3-1.7B base (never the Query-merged CommerceCore artifact), fine-tuned to classify the functional relationship between two product listings into substitute, complement, or unrelated. This is a dedicated, separate adapter from arghya2030/commercecore-expansion-match-v1…