The AliMaatouk/TinyLlama-1.1B-Tele is a 1.1 billion parameter Transformer model developed by Ali Maatouk, specialized for telecommunications. It was continually pretrained on the 2.5 billion token Tele-Data dataset, comprising telecommunications articles, standards, and web content. This model outperforms its base, TinyLlama-1.1B, on telecommunications benchmarks while maintaining performance on general language understanding tasks. It is primarily intended as a base model for fine-tuning on telecommunications-related applications.
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AliMaatouk/TinyLlama-1.1B-TeleMost 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.