π§ Model
Llama-3.2-1B
by meta-llama
π Updated 12/18/2025
π§ Architecture Explorer
Neural network architecture
1 Input Layer
2 Hidden Layers
3 Attention
4 Output Layer
β οΈ Incomplete Data
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π Limitations & Considerations
- β’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
- β’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
- β’ FNI scores are relative rankings and may change as new models are added.
- β’ Data source: [{"source_platform":"huggingface","source_url":"https://huggingface.co/meta-llama/Llama-3.2-1B","fetched_at":"2025-12-18T04:21:58.999Z","adapter_version":"3.2.0"}]
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π Training Datasets
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