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# STEM domain optimization
Deepseek Qwen Bllossom 32B
MIT
DeepSeek-qwen-Bllossom-32B is built upon the DeepSeek-R1-Distill-Qwen-32B model, aiming to enhance reasoning performance in Korean environments.
Large Language Model
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesD
UNIVA-Bllossom
167
3
Deepseek Llama3.3 Bllossom 70B
MIT
DeepSeek-llama3.3-Bllossom-70B is built upon the DeepSeek-R1-distill-Llama-70B model, aiming to enhance reasoning performance in Korean environments.
Large Language Model Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesD
UNIVA-Bllossom
1,181
59
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