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Model: SindreLinden/gemma-3-1b-ifs-cloud-gguf
Source: Original Platform

README.md

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+---
+license: gemma
+base_model: google/gemma-3-1b-it
+tags:
+- fine-tuned
+- gguf
+- gemma
+- instruct
+- 1b
+model_type: gemma3
+quantized: f16
+datasets:
+- custom
+language:
+- en
+pipeline_tag: text-generation
+---
+
+# Fine-tuned Gemma 3 1B IT (GGUF)
+
+This is a fine-tuned version of Google's Gemma 3 1B IT model, converted to GGUF format for efficient inference.
+
+## Model Details
+
+- **Base Model**: google/gemma-3-1b-it
+- **Fine-tuning Method**: QLoRA (Quantized Low-Rank Adaptation)
+- **Format**: GGUF (F16 precision)
+- **Size**: ~1.9GB
+
+## Training Details
+
+- **Adapter**: QLoRA with rank 32, alpha 16
+- **Target Modules**: up_proj, down_proj, gate_proj, q_proj, k_proj, v_proj, o_proj
+- **Sequence Length**: 2048
+- **Training Data**: Custom dataset with sample packing
+- **Epochs**: 3
+- **Learning Rate**: 0.0004 with cosine scheduler
+- **Optimizer**: AdamW BNB 8-bit
+
+## Usage
+
+This GGUF model can be used with various inference engines:
+
+### llama.cpp
+```bash
+./llama-server -m model.gguf
+```
+
+### Ollama
+```bash
+# Create a Modelfile
+FROM model.gguf
+TEMPLATE """<start_of_turn>user
+{{ .Prompt }}<end_of_turn>
+<start_of_turn>model
+"""
+
+# Import the model
+ollama create my-gemma-model -f Modelfile
+ollama run my-gemma-model
+```
+
+### Python with llama-cpp-python
+```python
+from llama_cpp import Llama
+
+llm = Llama(model_path="model.gguf")
+output = llm("Tell me about artificial intelligence", max_tokens=512)
+print(output)
+```
+
+## Chat Template
+
+This model uses Gemma 3's chat template:
+```
+<start_of_turn>user
+{user_message}<end_of_turn>
+<start_of_turn>model
+{assistant_response}<end_of_turn>
+```
+
+## Limitations
+
+- This is a small 1B parameter model with inherent limitations
+- Fine-tuned for specific use cases - performance may vary on other tasks
+- GGUF conversion may introduce minor numerical differences compared to the original model
+
+## License
+
+This model inherits the license from the base Gemma model. Please refer to Google's Gemma license for usage terms.