Alpaca 7B
- Family
- Alpaca
- Released
- 2023-03-31
- Context
- 2K
- Parameters
- 7B
- Architecture
- Decoder Only
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Pioneering AI research and computing infrastructure
No tracked provider pricing is available yet.
About
Alpaca 7B is a language model developed by Stanford University, derived from Meta's LLaMA 7B, designed for instruction-following tasks. It excels in producing coherent, context-sensitive responses and is comparable to OpenAI's text-davinci-003, despite its smaller size and lower training costs. With a transformer-based architecture of 7 billion parameters, it efficiently balances performance and resource needs, suitable for devices like laptops. Trained on 52,000 instruction-based demonstrations, it offers high-quality interaction while facing challenges like hallucination and stereotyping, indicating a need for careful real-world application.
Providers
No active provider routes are tracked for this model yet.
Deprecated provider routes(1)
| Provider | Status | Catalog ID |
|---|---|---|
| Together AI | Deprecated | — |
Available via routers & gateways(1)
Capabilities
Benchmark peer barsfor Classification
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
Pioneering AI research and computing infrastructure
No tracked provider pricing is available yet.