WizardLM Models by WizardLM Team
Last refreshed 2026-06-29. Next refresh: weekly.
Details
Capabilities
About
The WizardLM family of large language models (LLMs) is based on the LLaMA architecture and utilizes a novel training method called Evol-Instruct. This method involves using AI to iteratively evolve and enhance instruction data, making it more complex and varied. The goal is to improve the model's ability to follow intricate instructions and handle complex tasks. By fine-tuning LLaMA with this AI-generated instruction data, WizardLM models have demonstrated superior performance compared to other LLaMA-based models trained on simpler data. Notably, WizardLM has shown competitive results in human evaluations and automatic assessments, sometimes even outperforming OpenAI's ChatGPT in handling high-complexity instructions.
Decision facts
- Best fit
- structured outputscodingmath-heavy prompts
- Capability starting point
- WizardLM 13B V1.0 with 2k context and structured outputs
- Lowest tracked input
- WizardLM 13B V1.0 · $0.3/1M · Together AI
- Closest related family
- WizardCoder
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 4k context and 70B parameters.
Use when the workload needs 2k context and 30B parameters.
Use when the workload needs 2k context, 13B parameters, and structured outputs.
Use when the workload needs 2k context and 7B parameters.
Use when the workload needs 2k context and 13B parameters.
Use when the workload needs 4k context and 13B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| WizardLM 70B | Use when the workload needs 4k context and 70B parameters. | 2023-04 | 4k context70B parameters | Current |
| WizardLM 30B | Use when the workload needs 2k context and 30B parameters. | 2023-04 | 2k context30B parameters | Current |
| WizardLM 13B V1.0 | Use when the workload needs 2k context, 13B parameters, and structured outputs. | 2023-04 | 2k context13B parametersstructured outputs | Current |
| WizardLM 7B | Use when the workload needs 2k context and 7B parameters. | 2023-04 | 2k context7B parameters | Current |
| WizardLM 13B V1.1 | Use when the workload needs 2k context and 13B parameters. | 2023-04 | 2k context13B parameters | Current |
| WizardLM 13B V1.2 | Use when the workload needs 4k context and 13B parameters. | 2023-04 | 4k context13B parameters | Current |
Release Timeline
1 release groupSpecifications(6 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| WizardLM 70B | 2023-04 | 4k | 70B | No |
| WizardLM 30B | 2023-04 | 2k | 30B | No |
| WizardLM 13B V1.0 | 2023-04 | 2k | 13B | Yes |
| WizardLM 7B | 2023-04 | 2k | 7B | No |
| WizardLM 13B V1.1 | 2023-04 | 2k | 13B | No |
| WizardLM 13B V1.2 | 2023-04 | 4k | 13B | No |
Available From(3 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| WizardLM 13B V1.0 | Together AI | $0.3 | $0.3 | Serverless |
| WizardLM 13B V1.1 | Microsoft Foundry | $0.81 | $0.94 | Provisioned |
