The vaibkumar/agentic_training_finetuned_v1 is a 12 billion parameter language model with a 32768 token context length. This model is a fine-tuned version, though specific details on its base architecture, training data, and primary differentiators are not provided in its current model card. Its intended use cases and specific optimizations for agentic training are not detailed, requiring further information for a comprehensive understanding of its capabilities.
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