---
license: gemma
language:
- en
base_model: kth8/gemma-3-1b-it-Conversation
datasets:
- kth8/multi-turn-conversation-50000x
pipeline_tag: text-generation
library_name: transformers
tags:
- sft
- trl
- unsloth
- google
- gemma
- gemma3
- gemma3_text
---
![logo](https://storage.googleapis.com/gweb-developer-goog-blog-assets/images/gemma-3_2.original.png)
A fine-tune of [unsloth/gemma-3-1b-it](https://huggingface.co/unsloth/gemma-3-1b-it) on the [kth8/multi-turn-conversation-50000x](https://huggingface.co/datasets/kth8/multi-turn-conversation-50000x) dataset.

## Usage example
**System prompt**
```
You are a helpful assistant.
```
**User prompt**
```
Hey there! How's it going?
```
**Assistant response**
```
Hey! I'm doing great, thanks for asking! I'm here and ready to help with whatever you need. What's on your mind today?
```
## Model Details
- Base Model: `unsloth/gemma-3-1b-it`
- Parameter Count: 999885952
- Precision: torch.bfloat16

## Training Settings
### Hardware
- GPU: NVIDIA RTX PRO 6000 Blackwell Server Edition

### PEFT
- Rank: 32
- LoRA alpha: 64
- Modules: q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
- Gradient checkpointing: unsloth

### SFT
- Epoch: 2
- Batch size: 48
- Gradient Accumulation steps: 1
- Warmup ratio: 0.1
- Learning rate: 0.0002
- Optimizer: adamw_torch_fused
- Learning rate scheduler: cosine

## Training stats
- Global step: 1996
- Training runtime (seconds): 6834.1445
- Average training loss: 1.1743444665400442
- Final validation loss: 1.1191450357437134

## Framework versions
- Unsloth: 2026.3.8
- TRL: 0.22.2
- Transformers: 4.56.2
- Pytorch: 2.10.0+cu128
- Datasets: 4.8.3
- 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) and [Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy) regarding the use of Gemma-generated content.