Vicuna Models by LMSYS Org
Last refreshed 2026-04-19. Next refresh: weekly.
Details
Capabilities
About
The Vicuna large language model (LLM) family, developed by LMSYS, consists of open-source chat assistants fine-tuned from the LLaMA family, specifically LLaMA and Llama 2, using a diverse dataset from ShareGPT 145. Designed to deliver detailed and structured responses rivaling leading commercial models like ChatGPT and Google Bard, the Vicuna models vary in size and context window length, such as 7B, 13B parameters, and 16k tokens 1. They are primarily intended for research, with their code, weights, and demos available under a non-commercial license, ensuring accessibility for experimentation and development 4. Initial evaluations found these models reaching about 90% of ChatGPT's performance, prompting ongoing refinement 1.
Decision facts
- Best fit
- structured outputscodingmath-heavy prompts
- Capability starting point
- Vicuna 13B 16K with 16k context and structured outputs
- Lowest tracked input
- Vicuna 13B · $0.1/1M · Replicate API
- Closest related family
- MOSS-Audio
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 16k context, 13B parameters, and structured outputs.
Use when the workload needs 2k context, 13B parameters, and structured outputs.
Use when the workload needs 16k context, 7B parameters, and structured outputs.
Use when the workload needs 2k context, 7B parameters, and structured outputs.
Use when the workload needs 16k context and 13B parameters.
Use when the workload needs 2k context, 13B parameters, and structured outputs.
Use when the workload needs 16k context and 7B parameters.
Use when the workload needs 2k context, 7B parameters, and structured outputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Vicuna 13B 16K | Use when the workload needs 16k context, 13B parameters, and structured outputs. | 2023-10 | 16k context13B parametersstructured outputs | Current |
| Vicuna 13B | Use when the workload needs 2k context, 13B parameters, and structured outputs. | 2023-10 | 2k context13B parametersstructured outputs | Current |
| Vicuna 7B 16K | Use when the workload needs 16k context, 7B parameters, and structured outputs. | 2023-10 | 16k context7B parametersstructured outputs | Current |
| Vicuna 7B | Use when the workload needs 2k context, 7B parameters, and structured outputs. | 2023-10 | 2k context7B parametersstructured outputs | Current |
| Vicuna 13B V1.5 16K | Use when the workload needs 16k context and 13B parameters. | 2023-10 | 16k context13B parameters | Current |
| Vicuna 13B V1.5 | Use when the workload needs 2k context, 13B parameters, and structured outputs. | 2023-10 | 2k context13B parametersstructured outputs | Current |
| Vicuna 7B V1.5 16K | Use when the workload needs 16k context and 7B parameters. | 2023-10 | 16k context7B parameters | Current |
| Vicuna 7B V1.5 | Use when the workload needs 2k context, 7B parameters, and structured outputs. | 2023-10 | 2k context7B parametersstructured outputs | Current |
Release Timeline
1 release groupSpecifications(8 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Vicuna 13B 16K | 2023-10 | 16k | 13B | Yes |
| Vicuna 13B | 2023-10 | 2k | 13B | Yes |
| Vicuna 7B 16K | 2023-10 | 16k | 7B | Yes |
| Vicuna 7B | 2023-10 | 2k | 7B | Yes |
| Vicuna 13B V1.5 16K | 2023-10 | 16k | 13B | No |
| Vicuna 13B V1.5 | 2023-10 | 2k | 13B | Yes |
| Vicuna 7B V1.5 16K | 2023-10 | 16k | 7B | No |
| Vicuna 7B V1.5 | 2023-10 | 2k | 7B | Yes |
Available From(3 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Vicuna 13B | Replicate API | $0.1 | $0.5 | Serverless |
| Vicuna 7B V1.5 | Together AI | $0.2 | $0.2 | Serverless |
| Vicuna 13B V1.5 | Together AI | $0.3 | $0.3 | Serverless |
Related Model Families
Models(8)
Vicuna 13B 16K
Vicuna 13B
Vicuna 7B 16K
Vicuna 7B
Vicuna 13B V1.5 16K
Vicuna 13B V1.5
Vicuna 7B V1.5 16K
Vicuna 7B V1.5