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Model: kth8/gemma-3-270m-it-Docker-Compose
Source: Original Platform

README.md

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+---
+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.