scb10x/llama3.2-typhoon2-1b is a 1 billion parameter Thai large language model, based on the Llama3.2 architecture, developed by scb10x. This model is primarily pretrained for Thai language tasks, demonstrating competitive performance on various Thai-specific benchmarks such as ThaiExam and TGAT. It supports both Thai and English languages, making it suitable for applications requiring strong Thai language understanding.
Loading preview...
Model tree for
typhoon-ai/llama3.2-typhoon2-1bMost 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.