Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B
Saxo/Linkbricks-Horizon-AI-Korean-Gemma-2-sft-dpo-27B is a 27 billion parameter Korean language model, fine-tuned from the Gemma-2-27B-IT base model by Linkbricks Horizon-AI. It excels in complex Korean logical problem-solving and cross-lingual understanding across Korean, Chinese, English, and Japanese, achieved through SFT and DPO training. This model is particularly enhanced for high-level analysis of customer reviews, social postings, and coding tasks, utilizing a 32768 token context length.
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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