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tags:
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- meme
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- crysis
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---
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This model is a fine-tuned version of [google/gemma-3-1b-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-3-1b-it-qat-q4_0-unquantized) on [AnonSOB/Crysis](https://huggingface.co/datasets/AnonSOB/Crysis).
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The following hyperparameters were used during training:
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- learning_rate: 1e-5
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- train_batch_size: 5
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- seed: 0
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- num_epochs: 6000
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Trained with mlx-lm.
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Thank you Alex Ziskind for original TinyLlama Crysis ❤️
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tags:
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- meme
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- crysis
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library_name: mlx
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---
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This model is a fine-tuned version of [google/gemma-3-1b-it-qat-q4_0-unquantized](https://huggingface.co/google/gemma-3-1b-it-qat-q4_0-unquantized) on [AnonSOB/Crysis](https://huggingface.co/datasets/AnonSOB/Crysis).
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-5
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- train_batch_size: 5
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- seed: 0
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- num_epochs: 6000
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### MLX.
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Trained with mlx-lm.
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### Thank you
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Thank you Alex Ziskind for original TinyLlama Crysis ❤️
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This model is unquantized. I dont know why I trained it on Gemma 3 QAT because it acts weird when quantized.
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## Suggested parameters
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- Temperature: `0.8`
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- Max Tokens: `32`
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- Max seq len: `64`
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