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---
base_model: unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit
tags:
- text-generation-inference
- transformers
- unsloth
- gemma3n
license: apache-2.0
language:
- en
datasets:
- chimbiwide/RolePlay-NPC
pipeline_tag: image-text-to-text
---
# Gemma3NPC-it
#### The "flagship" Gemma3NPC model that delivers good NPC role-playing at great speed.
We trained this model as a rank-16 LoRA adapter with one epoch over `RolePlay-NPC` using a 40GB vRAM A100 in Google Colab. For this run, we employed a learning rate of `2e-5` and a total batch size of 1 and gradient accumulation steps of 16. A cosine learning rate scheduler was used with an 800-step warmup. With a gradient clipping of 0.4.
Check out our training notebook [here](https://github.com/chimbiwide/Gemma3NPC/blob/main/Training/Gemma3NPC-Instruct.ipynb).
---
Here is a graph of the Step Training Loss, saved every 10 steps:
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