Breeze Models by MediaTek-Research
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The Breeze large language model (LLM) family, created by MediaTek Research, features a series of open-source models based on the Mistral-7B foundation. Tailored for Traditional Chinese, these models excel in both Traditional Chinese and English languages. They are available in base and instruction-tuned variants, with the latter optimized for tasks like question answering, retrieval augmented generation (RAG), multi-round chat, and summarization. One of Breeze's standout features is its enhanced processing speed, particularly for Traditional Chinese, reaching double the inference speed compared to models like Mistral-7B and Llama 7B. This is largely due to its expanded vocabulary, which includes an additional 30,000 Traditional Chinese tokens. Moreover, the Breeze models perform impressively in benchmarks against other open-source models of similar size 23.
Decision facts
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 32k context and 7B parameters.
Use when the workload needs 32k context and 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Breeze 7B | Use when the workload needs 32k context and 7B parameters. | 2023-11 | 32k context7B parameters | Current |
| Breeze 8x7B | Use when the workload needs 32k context and 7B parameters. | 2023-11 | 32k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Breeze 7B | 2023-11 | 32k | 7B |
| Breeze 8x7B | 2023-11 | 32k | 7B |
