Gemma 4 E2B — Empathetic Counseling Assistant

Fine-tuned Gemma 4 E2B for empathetic mental health counseling support. Trained on MentalChat16K (16K counselor–client conversations covering 33 mental health topics).

Key Features

  • Empathetic responses across anxiety, depression, grief, relationships, and more
  • Bilingual — responds in English and Arabic (leveraging Gemma 4's native 140-language support)
  • Lightweight — LoRA adapters (only ~0.5% of parameters trained)
  • Deployable — GGUF export available for Ollama / llama.cpp

Training Details

  • Base model: google/gemma-4-e2b-it
  • Method: QLoRA (4-bit, rank 16, alpha 16)
  • Dataset: ShenLab/MentalChat16K (16,113 Q&A pairs)
  • Framework: Unsloth + TRL SFTTrainer
  • Hardware: Google Colab (T4 16GB / A100 40GB)

Disclaimer

This model is for research and educational purposes only. It is NOT a substitute for professional mental health care. If you or someone you know is in crisis, please contact a licensed professional.

This gemma4 model was trained 2x faster with Unsloth

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Dataset used to train muaaz/gemma4-e2b-eq-counselor