AI & ML interests
Traditional Chinese language models
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A curated collection of datasets designed to evaluate and train reasoning capabilities in Traditional Chinese across various domains.
Benchmark log generated with Twinkle Eval, recording the model's outputs for each prompt.
A collection of Formosa-1 (F1) reasoning models and datasets focused on Traditional Chinese instruction-following and logic.
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twinkle-ai/Llama-3.2-3B-F1-Instruct
Text Generation β’ 4B β’ Updated β’ 118 β’ 22 -
twinkle-ai/Llama-3.2-3B-F1-Reasoning-Instruct
Text Generation β’ 4B β’ Updated β’ 19 β’ 46 -
twinkle-ai/Llama-3.2-3B-F1-Reasoning-Instruct-GGUF
Text Generation β’ 4B β’ Updated β’ 104 β’ 12 -
lianghsun/Llama-3.2-3B-F1-Base
Text Generation β’ 4B β’ Updated β’ 1
A collection of Formosa-1 (F1) reasoning models and datasets focused on Traditional Chinese instruction-following and logic.
-
twinkle-ai/Llama-3.2-3B-F1-Instruct
Text Generation β’ 4B β’ Updated β’ 118 β’ 22 -
twinkle-ai/Llama-3.2-3B-F1-Reasoning-Instruct
Text Generation β’ 4B β’ Updated β’ 19 β’ 46 -
twinkle-ai/Llama-3.2-3B-F1-Reasoning-Instruct-GGUF
Text Generation β’ 4B β’ Updated β’ 104 β’ 12 -
lianghsun/Llama-3.2-3B-F1-Base
Text Generation β’ 4B β’ Updated β’ 1
A curated collection of datasets designed to evaluate and train reasoning capabilities in Traditional Chinese across various domains.
Benchmark log generated with Twinkle Eval, recording the model's outputs for each prompt.