scb10x/llama3.1-typhoon2-8b-instruct is an 8 billion parameter instruction-tuned Thai Large Language Model (LLM) developed by SCB 10X, based on the Llama3.1-8B architecture. This model is specifically optimized for Thai language performance, demonstrating superior instruction-following, function-call capabilities, and domain-specific tasks like math and coding in Thai compared to its base model. It supports a 32768-token context length and is designed for applications requiring strong Thai language understanding and generation.
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scb10x/llama3.1-typhoon2-8b-instructMost 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.