ruslandev/llama-3-8b-gpt-4o-ru1.0
ruslandev/llama-3-8b-gpt-4o-ru1.0 is an 8 billion parameter instruction-tuned Llama 3 model developed by ruslandev, fine-tuned for the Russian language. It leverages a high-quality dataset derived from GPT-4o, focusing 80% of its training on Russian examples. This model demonstrates strong performance in Russian language tasks, surpassing GPT-3.5-turbo and matching other multilingual models on the MT-Bench benchmark.
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.
–