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# Selina0.1
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**Selina0.1** is a model further fine-tuned from **Cat0.1** using an iterative dataset approach. The process involves iterating over the dataset three times, using the previous generation as the next iteration's dataset. This model is based on an 8 billion parameter **Llama 3.1** architecture, further quantized to 4 bits for ease of upload. It has been iteratively trained on several hundred examples of data.
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# Selina0.1
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**Selina0.1** is a model further fine-tuned from **Cat0.1** using an iterative dataset approach. The process involves iterating over the dataset three times, using the previous generation as the next iteration's dataset. This model is based on an 8 billion parameter **Llama 3.1** architecture, further quantized to 4 bits for ease of upload. It has been iteratively trained on several hundred examples of data.
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