Typhoon T1 3B (Research Preview) is the first model in the new Typhoon T family of open reasoning models developed by SCB 10X, built upon the Llama 3.2 architecture. This 3 billion parameter instruct model is designed to "think longer" before generating a final answer, offering improved performance on challenging benchmarks like GPQA, MMLU Pro, and AI Mathematics Olympiad validation set. It excels at reasoning across diverse domains, unlike many open reasoning models limited to mathematics and coding, and uniquely supports generating Thai reasoning traces for enhanced transparency.
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typhoon-ai/llama3.2-typhoon2-t1-3b-research-previewMost 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.