Whisper Psychology Chatbot is a 1 billion parameter model developed by DeepFinders at SLTC Research University, fine-tuned from Google's Gemma-3-1B-IT. It specializes in providing supportive and empathetic responses for mental health conversations, leveraging a psychology-focused conversational dataset. This model is optimized for mental health support applications, offering a specialized approach compared to general-purpose language models. Its 32768 token context length supports extended conversational interactions.
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KNipun/whisper-psychology-gemma-3-1bMost commonly used values from Featherless users
temperature
This setting influences the sampling randomness. Lower values make the model more deterministic; higher values introduce randomness. Zero is greedy sampling.
top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
presence_penalty
This setting penalizes new tokens based on their presence in the generated text so far. Values > 0 encourage new tokens; < 0 encourages repetition.
repetition_penalty
This setting penalizes new tokens based on their appearance in the prompt and generated text. Values > 1 encourage new tokens; < 1 encourages repetition.
min_p
This setting representing the minimum probability for a token to be considered relative to the most likely token. Must be in [0, 1]. Set to 0 to disable.