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README.md

@@ -1,13 +1,25 @@
 ---
-title: Apochat Gemma4 E2b Trainer Space
-emoji: 🌍
-colorFrom: yellow
-colorTo: green
+title: Apochat Gemma 4 E2B Trainer
+emoji: 🏋️
+colorFrom: purple
+colorTo: pink
 sdk: gradio
-sdk_version: 6.19.0
-python_version: '3.13'
+sdk_version: 4.0.0
 app_file: app.py
 pinned: false
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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`.