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llama3.1-typhoon2-deepseek-r1-70b-previewTyphoon ai
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70B Params FP8 Inference Available

typhoon-ai/llama3.1-typhoon2-deepseek-r1-70b-preview is a 70 billion parameter Thai reasoning large language model developed by Typhoon AI. Based on DeepSeek R1 70B Distill and Typhoon2 70B Instruct, it offers advanced reasoning capabilities comparable to DeepSeek R1 70B Distill. This model excels in enhanced math and coding performance, demonstrating strong proficiency in both Thai and English languages, and adapts to cross-domain reasoning tasks.

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Parameters:70BContext length:32kArchitecture:TransformerPrecision:FP8Quantized variants:AvailableLast updated:February 2025
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Popular Sampler Settings

Most 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.

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top_p

This setting controls the cumulative probability of considered top tokens. Must be in (0, 1]. Set to 1 to consider all tokens.

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top_k

This limits the number of top tokens to consider. Set to -1 to consider all tokens.

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frequency_penalty

This setting penalizes new tokens based on their frequency in the generated text. Values > 0 encourage new tokens; < 0 encourages repetition.

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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.

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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.

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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.

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