Sheikhaei/llama-3.2-1b-english-persian-translator is a 1 billion parameter Llama 3.2 model fine-tuned by Sheikhaei for bidirectional English-Persian translation. This model excels at translating text between English and Persian, supporting both English to Persian and Persian to English directions. It was trained on a custom dataset of approximately 640,000 sentence pairs, achieving BLEU scores of 0.47 (En-Fa) and 0.58 (Fa-En).
Loading preview...
Model tree for
Sheikhaei/llama-3.2-1b-english-persian-translatorMost 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.