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Model: kth8/gemma-3-270m-it-homeowner-classifier-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-homeowner-classifier
+datasets:
+- kth8/homeowner-classification
+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/homeowner-classification](https://huggingface.co/datasets/kth8/homeowner-classification) dataset.
+
+Inspired by https://www.teachmecoolstuff.com/viewarticle/fine-tuning-a-local-llm-to-categorize-questions
+
+Use `temperature=0.0` for optimal results.
+
+## Usage example
+
+**System prompt**
+```
+Classify the homeowner question into a category from the list below.
+The answer must be exactly one category name from the list in JSON format.
+Choose the best category based on the meaning of the question.
+
+Valid categories:
+- appliances
+- brick work
+- car
+- cooking
+- doorbell
+- electric
+- fence
+- fountain
+- garden lights
+- gutters
+- hvac
+- irrigation
+- mosquito
+- painting
+- pool
+- tree service
+- water heater
+- window service
+```
+**User prompt**
+```
+What is the CYA level supposed to be in the pool water?
+```
+**Assistant response**
+```
+{"category": "pool"}
+```
+## 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: 10
+- Weight decay: 0.01
+
+## Training stats
+- Date: 2026-06-17T01:06:10.026211
+- GPU: NVIDIA L4
+- Peak VRAM usage: 2.205 GB
+- Global step: 126
+- Training runtime (seconds): 334.7612
+- Best validation loss: 0.013801434077322483
+
+| Step | Training Loss | Validation Loss |
+|------|---------------|-----------------|
+| 0    | No log        | 2.182445        |
+| 12   | 1.131100      | 0.195152        |
+| 24   | 0.122900      | 0.082139        |
+| 36   | 0.076800      | 0.034620        |
+| 48   | 0.075600      | 0.027673        |
+| 60   | 0.039300      | 0.031881        |
+| 72   | 0.038300      | 0.020789        |
+| 84   | 0.031200      | 0.015834        |
+| 96   | 0.018400      | 0.013921        |
+| 108  | 0.030300      | 0.014498        |
+| 120  | 0.023700      | 0.013801        |
+
+## 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-homeowner-classifier-bf16.gguf

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