unsloth/gemma-3n-E4B

Learn how to run & fine-tune Gemma 3n correctly - Read our Guide.

See our collection for all versions of Gemma 3n including GGUF, 4-bit & 16-bit formats.

Unsloth Dynamic 2.0 achieves SOTA accuracy & performance versus other quants.

✨ Gemma 3n Usage Guidelines

• Currently only text is supported.
• Ollama: ollama run hf.co/unsloth/gemma-3n-E4B-it:Q4_K_XL - auto-sets correct chat template and settings
• Set temperature = 1.0, top_k = 64, top_p = 0.95, min_p = 0.0
• Gemma 3n max tokens (context length): 32K. Gemma 3n chat template:

<bos><start_of_turn>user\nHello!<end_of_turn>\n<start_of_turn>model\nHey there!<end_of_turn>\n<start_of_turn>user\nWhat is 1+1?<end_of_turn>\n<start_of_turn>model\n

• For complete detailed instructions, see our step-by-step guide.

🦥 Fine-tune Gemma 3n with Unsloth

• Fine-tune Gemma 3n (4B) for free using our Google Colab notebook here!
• Read our Blog about Gemma 3n support: unsloth.ai/blog/gemma-3n
• View the rest of our notebooks in our docs here.

Unsloth supports	Free Notebooks	Performance	Memory use
Gemma-3n-E4B	▶️ Start on Colab	2x faster	80% less
GRPO with Gemma 3 (1B)	▶️ Start on Colab	2x faster	80% less
Gemma 3 (4B)	▶️ Start on Colab	2x faster	60% less
Qwen3 (14B)	▶️ Start on Colab	2x faster	60% less
DeepSeek-R1-0528-Qwen3-8B (14B)	▶️ Start on Colab	2x faster	80% less
Llama-3.2 (3B)	▶️ Start on Colab	2.4x faster	58% less

Gemma-3n-E4B model card