botbot-ai/CabraLlama3-70b
CabraLlama3-70b by botbot-ai is a 70 billion parameter language model, an enhanced version of Meta Llama 3 70B Instruct. It has been fine-tuned using the internal Cabra 30k dataset, specifically optimizing its understanding and response generation in Portuguese (pt-br). This model excels in dialogue use cases and achieves strong performance on Portuguese-specific benchmarks, making it suitable for applications requiring high-quality Portuguese language processing.
Hugging Face Popular Sampler Settings
Most 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.
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top_p
This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.
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top_k
This limits the number of top tokens to consider. Set to -1 to consider all tokens.
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frequency_penalty
This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.
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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.
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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.
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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.
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