Upload README.md with huggingface_hub

README.md

@@ -0,0 +1,52 @@
+---
+base_model: unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
+model:
+- id: rajasingh012/vidya-gemma4-e2b-gguf
+tags:
+- unsloth
+- fine-tuned
+- gemma-4
+- ncert
+- socratic-tutoring
+- education
+- llm
+library: llama.cpp
+quantization: Q4_K_M
+inference:
+  parameters:
+    temperature: 0.7
+    top_k: 40
+    top_p: 0.95
+---
+
+# Vidya - NCERT Socratic Learning Bot
+
+Fine-tuned Gemma 4 E2B (2.3B params) on NCERT socratic dialogue data.
+
+## Model Details
+
+- **Base model**: unsloth/gemma-4-E2B-it-unsloth-bnb-4bit
+- **Fine-tuning method**: QLoRA (rank=32, alpha=32)
+- **Format**: GGUF Q4_K_M (~3.1 GB)
+- **Context length**: 2048 tokens
+- **Trained on**: 321 socratic dialogue samples (NCERT Class 6-10 Science)
+
+## Usage
+
+This model is compatible with llama.cpp and Ollama. Download the GGUF file from the Files tab, or use the HuggingFace Hub API:
+
+```python
+from huggingface_hub import hf_hub_download
+path = hf_hub_download(repo_id='rajasingh012/vidya-gemma4-e2b-gguf', 
+                       filename='gemma-4-e2b-it-pretrained.Q4_K_M.gguf')
+```
+
+## Mobile App
+
+This model powers the Vidya Android app (NCERT Socratic tutoring chatbot).
+See: https://github.com/rajasingh012/vidya-android
+
+## Training
+
+Trained via Unsloth FastModel API on Kaggle GPU (T4 x2).
+Full training logs and data pipeline available in the ncert-wiki repository.