Breeze2 continues pretraining Llama on a 900GB Traditional Chinese corpus, then adds LLaVA-style vision and function-calling fine-tuning, reporting top size-class scores on a mix of public and self-built benchmarks.
Allava: Harnessing gpt4v-synthesized data for a lite vision-language model, 2024 a
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities
Breeze2 continues pretraining Llama on a 900GB Traditional Chinese corpus, then adds LLaVA-style vision and function-calling fine-tuning, reporting top size-class scores on a mix of public and self-built benchmarks.