LLM Reference

Breeze Models by MediaTek-Research

MediaTek-ResearchLlama 2 CommunityOpen weights
2 models2023Up to 32k ctx

Last refreshed 2026-05-19. Next refresh: weekly.

Details

Commercial useCommercial use: conditional
Models2
Released2023
Max context32k

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

Best fit
chatbot and role-playing use cases
Capability starting point
Breeze 7B with 32k context
Lowest tracked input
Not tracked
Closest related family
Claude 3

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

2 in view
Breeze 7BCurrent

Use when the workload needs 32k context and 7B parameters.

2023-1132k context7B parameters

Use when the workload needs 32k context and 7B parameters.

2023-1132k context7B parameters

Release Timeline

1 release group
2023-11
2 current
Breeze 7B
32k context7B parameters
Current
Breeze 8x7B
32k context7B parameters
Current

Specifications(2 models)

Breeze model specifications comparison
ModelReleasedContextParameters
Breeze 7B2023-1132k7B
Breeze 8x7B2023-1132k7B

Available From(1 provider)