masani/SFT_DeepScaleR_Llama-3.2-3B_epoch_1_global_step_26

The masani/SFT_DeepScaleR_Llama-3.2-3B_epoch_1_global_step_26 is a 3.2 billion parameter language model, likely based on the Llama architecture, with a substantial context length of 32768 tokens. This model is a fine-tuned version, indicated by "SFT" (Supervised Fine-Tuning) and "DeepScaleR", suggesting specialized training for particular tasks or performance enhancements. Its large context window makes it suitable for applications requiring extensive input understanding or generation.