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A newer version of the Gradio SDK is available: 6.25.0

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metadata

title: Apochat Gemma 4 E2B Trainer
emoji: 🏋️
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false

Apochat Gemma 4 E2B Trainer

Fine-tune google/gemma-4-E2B-it on the Apochat chat dataset (apoapps/apochat-gemma4-e2b-chat-v1) using PEFT/LoRA.

You must upgrade the Space hardware to a GPU before starting training. Free cpu-basic will not be able to train a 2B model in a reasonable time.

Recommended hardware:

t4-small or l4x1 for QLoRA.
a10g-small or larger for faster training.

When training finishes, the adapter is pushed to apoapps/apochat-gemma4-e2b-apochat-tuned-v2. Use the LiteRT export script to convert the trained adapter + base model to .litertlm.