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ollama run NiChr0/schemalytics-silver-agent
Fine-tuned Qwen3.5-4B for dbt Silver layer plan generation.
Part of the Schemalytics pipeline — a tool that turns a PostgreSQL schema into a full dbt project using a multi-agent LLM pipeline.
Given a database schema with table classifications (fact/dimension/bridge/reference), this model generates a Silver layer modeling plan:
dim_* models for dimension tables (descriptive entities)fct_* models for fact tables (business events/transactions)Used automatically by schemalytics when SCHEMALYTICS_LLM_PROVIDER=ollama:
”`bash ollama pull nichr0/schemalytics-silver-agent SCHEMALYTICS_LLM_PROVIDER=ollama schemalytics generate -c postgresql://… Training Base model: Qwen3.5-4B Method: QLoRA (r=8, α=16) via Unsloth Dataset: ~500 real-world database schemas (Spider benchmark + enterprise schemas) Task: Given schema + table classifications → output structured Silver modeling plan (JSON) Parameters Temperature: 0 (deterministic) Context: 12,288 tokens Max output: 4,096 tokens