Alpaca 13B
Alpaca 13B has model metadata, but missing tracked provider pricing keeps it from being a default production pick.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 2k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Alpaca
- Released
- 2023-03-31
- Context
- 2k
- Parameters
- 13B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Pioneering AI research and computing infrastructure
No tracked provider token pricing is available yet.
About
The Alpaca 13B model is a large language model built on the transformer architecture, designed to handle a variety of natural language processing tasks such as text generation, instruction following, question answering, and dialogue generation. It is based on the LLaMA architecture and incorporates features like pre-normalization and rotary positional embeddings. Variants of Alpaca 13B are often fine-tuned using methods like LoRA for efficient adaptation to specific tasks, utilizing instruction-following datasets for training. While it excels in certain tasks, it can suffer from limitations such as hallucinations, biases, and resource-intensiveness. The model's effectiveness is closely tied to the nature of its fine-tuning datasets and techniques.
Alpaca 13B is a model in the Alpaca family. The structured metadata tracks a 2k-token context window. No headline benchmark score is tracked for Alpaca 13B yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.