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Model: kth8/gemma-3-270m-it-Conversation-GGUF
Source: Original Platform

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README.md

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+---
+license: gemma
+language:
+- en
+base_model: kth8/gemma-3-270m-it-Conversation
+datasets:
+- kth8/multi-turn-conversation-50000x
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- sft
+- trl
+- unsloth
+- gemma
+- gemma3
+- gemma3_text
+---
+![logo](https://storage.googleapis.com/gweb-developer-goog-blog-assets/images/gemma-3_2.original.png)
+A supervised fine-tune of [unsloth/gemma-3-270m-it](https://huggingface.co/unsloth/gemma-3-270m-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-3-270m-it`
+- Parameter Count: 268,098,176
+- Precision: torch.bfloat16
+
+## Training Settings
+
+### 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: 1
+- Batch size: 8
+- Gradient Accumulation steps: 2
+- Learning rate: 0.0002
+- Optimizer: adamw_torch_fused
+- Learning rate scheduler: cosine
+- Warmup steps: 100
+- Weight decay: 0.01
+
+## Training stats
+- Date: 2026-06-16T15:15:17.789826
+- GPU: NVIDIA L4
+- Peak VRAM usage: 16.455 GB
+- Global step: 3120
+- Training runtime (seconds): 18261.5241
+- Best validation loss: 1.666245937347412
+
+| Step | Training Loss | Validation Loss |
+|------|---------------|-----------------|
+| 0    | No log        | 2.784440        |
+| 155  | 1.882700      | 1.881819        |
+| 310  | 1.805000      | 1.832387        |
+| 465  | 1.803100      | 1.804098        |
+| 620  | 1.781600      | 1.782886        |
+| 775  | 1.785700      | 1.765646        |
+| 930  | 1.776400      | 1.749293        |
+| 1085 | 1.753500      | 1.736082        |
+| 1240 | 1.732600      | 1.725711        |
+| 1395 | 1.703100      | 1.715472        |
+| 1550 | 1.730700      | 1.705917        |
+| 1705 | 1.713500      | 1.697924        |
+| 1860 | 1.725500      | 1.690107        |
+| 2015 | 1.707200      | 1.684427        |
+| 2170 | 1.687700      | 1.678853        |
+| 2325 | 1.675800      | 1.674952        |
+| 2480 | 1.723100      | 1.671108        |
+| 2635 | 1.684300      | 1.668909        |
+| 2790 | 1.692800      | 1.667304        |
+| 2945 | 1.663200      | 1.666461        |
+| 3100 | 1.676500      | 1.666246        |
+
+## Framework versions
+- Unsloth: 2026.6.7
+- TRL: 0.22.2
+- Transformers: 4.56.2
+- Pytorch: 2.11.0+cu128
+- Datasets: 5.0.0
+- 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) and [Prohibited Use Policy](https://policies.google.com/terms/generative-ai/use-policy) regarding the use of Gemma-generated content.

gemma-3-270m-it-Conversation-bf16.gguf

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