Danielbrdz/Barcenas-Llama3-8b-ORPO
Danielbrdz/Barcenas-Llama3-8b-ORPO is an 8 billion parameter language model based on Llama 3, specifically fine-tuned from VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct. This model utilizes the novel ORPO training method and was trained on the reciperesearch/dolphin-sft-v0.1-preference dataset, which incorporates GPT-4 improved conversational data. It is optimized for enhanced conversational capabilities, making it suitable for dialogue-focused applications.
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.