---
license: gemma
language:
- en
base_model: unsloth/gemma-3-270m-it
datasets:
- kth8/docker-compose-20000x
pipeline_tag: text-generation
library_name: transformers
tags:
- sft
- trl
- unsloth
- google
- gemma
- gemma3
- gemma3_text
---
A **full fine-tune** of [unsloth/gemma-3-270m-it](https://huggingface.co/unsloth/gemma-3-270m-it) on the [kth8/docker-compose-20000x](https://huggingface.co/datasets/kth8/docker-compose-20000x) dataset.

## Usage example
**System prompt**
```
You are a helpful assistant.
```
**User prompt**
```
Show me the docker-compose.yml for this command: docker container run --name fba_blue-chip --cpuset-cpus 3,3 --workdir /home/proconsulates/sandor --log-driver gelf --log-opt gelf-address=udp://localhost:53559 --blkio-weight-device /dev/sdg8:439 ghcr.io/asparagine/gesturing:nightly --warn --full --read-only
```
## Model Details

- Base Model: `unsloth/gemma-3-270m-it`
- Parameter Count: 268098176
- Training Method: Full Fine-Tune (FFT) - All parameters updated.
- Precision: torch.bfloat16

## Training stats
- global_step: 2307
- training_loss: 0.03397511645447863
- train_runtime: 6456.2772
- train_samples_per_second: 2.858
- train_steps_per_second: 0.357
- total_flos: 3357685821331968.0
- epoch: 1.0

## Hardware
- GPU: NVIDIA L4

## Framework versions
- Unsloth: 2026.3.4
- TRL: 0.22.2
- Transformers: 4.56.2
- Pytorch: 2.10.0+cu128
- Datasets: 4.3.0
- Tokenizers: 0.22.2

## License

This model is released under the Gemma license. See the [Gemma Terms of Use](https://ai.google.dev/gemma/terms) for details.