XuanYuan 176B
XuanYuan 176B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
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
- XuanYuan
- Released
- 2024-02-03
- Parameters
- 176B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
No tracked provider token pricing is available yet.
About
XuanYuan 2.0 is a leading-edge Chinese financial chat model built on the BLOOM-176B architecture, featuring 176 billion parameters. This state-of-the-art model is tailored specifically for the complex Chinese financial domain, excelling in natural language processing tasks such as conversational AI, financial analysis, and domain-specific question answering. It operates using a decoder-only structure optimized for autoregressive language modeling, allowing it to generate coherent responses in dialogue. The model's extensive training data includes both broad and domain-specific sources, while employing a hybrid-tuning method to balance general knowledge with financial specialization. Despite its capabilities, XuanYuan 2.0 requires substantial computational resources and may occasionally produce inaccurate results due to data limitations.
XuanYuan 176B is a model in the XuanYuan family. No headline benchmark score is tracked for XuanYuan 176B 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.