Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B
Saxo/Linkbricks-Horizon-AI-Korean-Advanced-8B is an 8 billion parameter Korean language model developed by Yunsung Ji (Saxo) at Linkbricks, based on the Hermes-3-Llama-3.1-8B architecture. It features continued pre-training, supervised fine-tuning, and DPO on a 10 million Korean news corpus, enhanced with Korean-Chinese-English-Japanese cross-training data and logic/math datasets. This model is optimized for high-dimensional analysis of customer reviews and social posts, coding, writing, mathematics, and complex logical reasoning, supporting a 32768-token context window and Korean Function Call/Tool Calling.
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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