RePo-OLMo2-1B-stage2-L5
RePo-OLMo2-1B-stage2-L5 is an autoregressive language model developed by Sakana AI, based on the allenai/OLMo-2-0425-1B model. It has been continually pre-trained on 50 billion tokens from the allenai/dolmino-mix-1124 dataset using the RePo (Context Re-Positioning) technique, which aims to enhance the model's understanding of context by adaptively restructuring input sequences.
RePo-OLMo2-1B-stage2-L5 is an autoregressive language model developed by Sakana AI, based on the allenai/OLMo-2-0425-1B model. It has been continually pre-trained on 50 billion tokens from the allenai/dolmino-mix-1124 dataset using the RePo (Context Re-Positioning) technique, which aims to enhance the model's understanding of context by adaptively restructuring input sequences.
- 011B parameters
- 02Continually pre-trained on 50B tokens
- 03Utilizes RePo technique for context re-positioning