kth8/gemma-3-1b-it-Conversation-GGUF

A fine-tune of unsloth/gemma-3-1b-it on the 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 and Prohibited Use Policy regarding the use of Gemma-generated content.