GemmaReLe-float16 / README.md
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metadata
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/ReLe_NPC

GemmaReLe

A test model for ReLe

image

(btw, we sort of did)


The Gemma3NPC series were meant to be a sort of general purposed video game RP model.

This time, using the chimbiwide/ReLe_Synthetic_v1_json, we trained a model to specifically act as ReLe.

For more information on Who is ReLe?, visit the dataset README.

Warning: This is NOT a general purpose model. Performance requires further testing.

Check out our training notebook here


Training parameters compared to Gemma3NPC-it

Parameter Gemma3NPC-it Gemma3NPC-it-beta
Learning Rate 2e-5 2.5e-5 (+25%)
Warmup Steps 800 100
gradient clipping 0.4 1.0

Graph of the Step Training Loss, saved every 10 steps:

chart


Fun Discovery

For the first time ever, we encountered a whole number trianing loss.

image