Alpaca Models by Stanford ArtificiaI Intelligence Laboratory (SAIL)
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.
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
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 |
Frequently Asked Questions
- What is Alpaca used for?
- Alpaca is used for structured outputs. The family description and listed model capabilities point to those workloads as the best fit.
- How does Alpaca compare to Claude 3?
- Alpaca by Stanford ArtificiaI Intelligence Laboratory (SAIL) is strongest where you need structured outputs, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. Alpaca has 2 listed variants and reaches up to 2k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.