Saxo/Linkbricks-Horizon-AI-Korean-llama3-sft-dpo-8b-base
Saxo/Linkbricks-Horizon-AI-Korean-llama3-sft-dpo-8b-base is an 8 billion parameter language model developed by Dr. Yunsung Ji (Saxo) at Linkbricks, fine-tuned from Meta-Llama-3-8B. This model underwent Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) training specifically for Korean language tasks. It leverages the original Llama 3 tokenizer without Korean vocabulary expansion, making it suitable for applications requiring a Korean-focused LLM based on a robust Llama 3 foundation.
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.
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.