Zephyr ORPO 141B
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About
The Zephyr ORPO 141B is a cutting-edge large language model by Hugging Face, developed in partnership with Argilla and KAIST. It employs a Mixture of Experts (MoE) architecture, consisting of 141 billion parameters, with 39 billion active during operation. The model is derived from the Mixtral-8x22B framework and fine-tuned using the innovative Odds Ratio Preference Optimization (ORPO) method, which improves computational efficiency by removing the need for a separate supervised fine-tuning phase.
Providers
No active provider routes are tracked for this model yet.
Deprecated provider routes(1)
| Provider | Status | Catalog ID |
|---|---|---|
| DeepInfra | Deprecated | — |
Capabilities
Benchmark peer barsfor Classification
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Migration checks
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No tracked provider pricing is available yet.