Gemma 4 12B — Vedic Opus Finetuned v2

A scholarly-grade fine-tune of Gemma 4 12B (text-only) for rigorous Vedic studies. Built to answer questions about the Ṛgveda, Brāhmaṇas, Upaniṣads, Vedāṅgas, Pūrva Mīmāṃsā, and Vedānta with philological precision.

Key Features

• Chronological awareness — training examples tagged with [Epoch: Saṃhitā], [Epoch: Upaniṣad], etc. so the model distinguishes Vedic layers
• Contrastive pairs — explicit cross-epoch comparisons
• Anachronism detection — trained to say “this concept does not appear in that text” when appropriate
• Mīmāṃsā hermeneutics — proper handling of śāstra-vihita-hiṃsā, apūrva, vidhi/niṣedha
• Scholarly system prompt — mandates citation of specific texts, epochs, and technical terms
• Zero New Age content — purely philological, no devotional filler

What the Model Can Do

• Define technical terms with chronological precision
• Distinguish Ṛta (cosmic order in the Saṃhitā) from Brahman (Vedāntic absolute)
• Explain Mīmāṃsā hermeneutics (vidhi, apūrva, arthāpatti, śāstra-vihita-hiṃsā)
• Trace semantic evolution (e.g., brahman from “sacred utterance” to “ultimate reality”)
• Detect anachronistic projections of later concepts onto earlier texts

HumanEval Benchmark

Accuracy: 91.5% (¹⁵⁰⁄₁₆₄) — competitive with SOTA 12B models; Vedic fine-tuning did not degrade general coding/reasoning.

Recommended Settings

temperature: 0.2, top_p: 0.95, repetition_penalty: 1.15

Quantizations

• Q4_K_M (~7 GB) — :latest on Ollama
• Q8_0 (~12 GB) — :q8_0 on Ollama
• F16 (~23 GB) — GGUF repo