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README.md

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+---
+license: gemma
+base_model: google/gemma-2-2b-it
+tags:
+- gemma2
+- instruction-tuning
+- nirf
+- india
+pipeline_tag: text-generation
+---
+
+# Gemma-2B (IT) — NIRF Lookup 2025 (Merged FP16)
+
+Base: google/gemma-2-2b-it
+This repository contains merged full weights (LoRA baked into base).
+
+Intended use:
+Short factual lookup answers about NIRF 2025 (Indian institutes).
+
+How to use (summary):
+Load with Transformers AutoTokenizer and AutoModelForCausalLM from this repo id.
+Use bfloat16 on NVIDIA L4. Provide an instruction (and optional context), then generate.
+
+Training summary:
+QLoRA (4-bit) on Gemma-2-2b-it. LoRA r=16, alpha=64, dropout=0.1.
+Target modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj.
+bf16 on NVIDIA L4. Data: 100 NIRF 2025 lookup samples.
+
+License & notice:
+This model is a Model Derivative of google/gemma-2-2b-it and is distributed under Google’s Gemma Terms of Use.
+See the NOTICE file in this repo.