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  license: llama3.1
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  library_name: transformers
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  pipeline_tag: text-generation
 
 
 
 
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  ---
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  This model is presented in the paper [Preference Learning Unlocks LLMs' Psycho-Counseling Skills](https://hf.co/papers/2502.19731). It's a fine-tuned Llama 3 model trained using preference learning on the [PsychoCounsel-Preference](https://huggingface.co/datasets/Psychotherapy-LLM/PsychoCounsel-Preference) dataset. This dataset contains 36k high-quality preference comparison pairs aligned with the preferences of professional psychotherapists.
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  The model aims to improve the quality of responses in psycho-counseling sessions and achieves a win rate of 87% against GPT-4o.
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- This usage is the same as [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B)
 
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  license: llama3.1
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  library_name: transformers
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  pipeline_tag: text-generation
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+ datasets:
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+ - Psychotherapy-LLM/PsychoCounsel-Preference
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+ base_model:
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+ - meta-llama/Llama-3.1-8B-Instruct
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  ---
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  This model is presented in the paper [Preference Learning Unlocks LLMs' Psycho-Counseling Skills](https://hf.co/papers/2502.19731). It's a fine-tuned Llama 3 model trained using preference learning on the [PsychoCounsel-Preference](https://huggingface.co/datasets/Psychotherapy-LLM/PsychoCounsel-Preference) dataset. This dataset contains 36k high-quality preference comparison pairs aligned with the preferences of professional psychotherapists.
 
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  The model aims to improve the quality of responses in psycho-counseling sessions and achieves a win rate of 87% against GPT-4o.
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+ This usage is the same as [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)