Alpaca Models by Stanford ArtificiaI Intelligence Laboratory (SAIL)
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
The Alpaca family of large language models (LLMs), developed by Stanford University's Center for Research on Foundation Models (CRFM), marks a significant milestone in the field of AI. The initial model, Alpaca 7B, showcases a remarkable ability to follow instructions, built upon fine-tuning Meta's LLaMA 7B model using a vast dataset of 52,000 demonstrations generated with OpenAI's text-davinci-003 1. Despite its relatively smaller size, Alpaca 7B delivers performance comparable to text-davinci-003 while maintaining a lower cost of reproduction—under $600 15. Its open-source nature and cost-effectiveness have spurred innovation and research within the LLM community, leading to various derivative models and enhancements. This openness and reduced required resources underline the growing accessibility and democratization within LLM research and development.
Decision facts
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 2k context, 7B parameters, and structured outputs.
Use when the workload needs 2k context and 13B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Alpaca 7B | Use when the workload needs 2k context, 7B parameters, and structured outputs. | 2023-03 | 2k context7B parametersstructured outputs | Current |
| Alpaca 13B | Use when the workload needs 2k context and 13B parameters. | 2023-03 | 2k context13B parameters | Current |
Release Timeline
1 release groupSpecifications(2 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Alpaca 7B | 2023-03 | 2k | 7B | Yes |
| Alpaca 13B | 2023-03 | 2k | 13B | No |
Available From(1 provider)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Alpaca 7B | Together AI | $0.2 | $0.2 | Serverless |