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  - **Model Size:** 0.5B parameters
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  - **Model Type:** Instruction-following Language Model
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  - **Training Data**: About 700 high quality preference entries annotated by GPT-4.
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- - **Training Procedure**: The DPO-Positive algorithm introduced abacusai was used to train this model.
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  ## Model Use
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  tau-instruct-0.5B-DPOP is an instruction-following language model designed to follow user instructions and provide assistance across a wide range of tasks, including but not limited to:
 
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  - **Model Size:** 0.5B parameters
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  - **Model Type:** Instruction-following Language Model
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  - **Training Data**: About 700 high quality preference entries annotated by GPT-4.
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+ - **Training Procedure**: The DPO-Positive algorithm introduced by abacusai was used to train this model.
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  ## Model Use
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  tau-instruct-0.5B-DPOP is an instruction-following language model designed to follow user instructions and provide assistance across a wide range of tasks, including but not limited to: