Breeze 8x7B
Breeze 8x7B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Breeze
- Released
- 2023-11-10
- Context
- 32k
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
Breeze 8x7B does not appear to be an existing large language model according to the available information. However, related models from MediaTek Research include Breeze-7B and Breexe-8x7B. Breeze-7B is an open-source model based on Mistral-7B, optimized for Traditional Chinese language comprehension and chatbot functions, displaying strong benchmark performance after extensive pretraining and fine-tuning. Breexe-8x7B, derived from Mixtral-8x7B, is specifically tailored for Traditional Chinese applications and includes the Breexe-8x7B-Instruct variant, which matches OpenAI's GPT-3.5-turbo-1106 in benchmark performance and operates at double the inference speed of Mixtral-8x7B. Both models improve performance through techniques such as vocabulary expansion, yet a Breeze 8x7B model description requires additional details.
Breeze 8x7B is a model in the Breeze family. The structured metadata tracks a 32k-token context window. No headline benchmark score is tracked for Breeze 8x7B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.