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Model: kth8/gemma-3-1b-it-Conversation-GGUF
Source: Original Platform

README.md

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+---
+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.