Sunbird/Sunflower-14B

Sunflower-14B is a 14 billion parameter multilingual causal language model developed by Sunbird AI, built on the Qwen 3 architecture with a 32K context length. It is specifically designed for Ugandan languages, supporting translation and text generation across 31 Ugandan languages plus English. The model excels in translation accuracy, outperforming other evaluated models in 24 of 31 language pairs.

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Public
14B
FP8
32768
License: apache-2.0
Hugging Face
Gated

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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