WizardLM 2 8x22B
WizardLM 2 8x22B is a Mixture-of-Experts model developed through Microsoft's WizardLM research program, built on the Mixtral 8x22B architecture and fine-tuned using the Evol-Instruct methodology. This training approach progressively rewrites instructions into more complex variants, producing a model that handles nuanced, multi-step directions with high fidelity.
The model targets complex instruction following, long-form reasoning, and structured output generation. Its MoE backbone activates a subset of experts per token, giving it strong capacity without proportionally high inference costs. It performs well on coding assistance, writing tasks, and analytical queries requiring detailed responses.
Key Features
Mixture-of-Experts architecture with efficient per-token expert routing
Evolved instruction training for handling complex, layered prompts
Strong multi-turn conversation coherence
Capable structured output generation including JSON and markdown
Competitive coding assistance and technical explanation quality
Large effective capacity for nuanced analytical tasks
Ideal Use Cases
Complex multi-step instruction following in agentic pipelines
Technical writing and documentation generation
Coding assistance and code review
Research summarization requiring detailed, structured answers
Educational content generation with nuanced explanations
Example Prompts for WizardLM 2 8x22B
Technical Specifications
| Provider | WizardLM |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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