Guanaco (7B) overview
Guanaco (7B) by University of Washington NLP
Guanaco-7B is a 7 billion parameter, multilingual chatbot model, achieving near-ChatGPT performance with efficient finetuning under Apache 2.0 license.
Guanaco (7B) specs
- Developer
- University of Washington NLP
- Input
- Text
- Output
- Text
- API
- OpenAI-compatible, base URL
https://api.aimlapi.com/v1
Basic Information
- Developer/Creator: Tim Dettmers
Overview
The Guanaco-7B is a 7 billion parameter open-source chatbot model based on Meta's LLaMA architecture. It achieves near-ChatGPT performance on the Vicuna benchmark while requiring significantly less computational resources for finetuning and inference.
Key Features
- Efficient 4-bit QLoRA finetuning - Guanaco-7B can be finetuned in 4-bit precision using Quantization-aware training with Low-Rank Adaptation (QLoRA), reducing memory requirements by 75% compared to full precision.
- Multilingual support - The model is trained on a multilingual dataset and can engage in conversations across many languages.
- Open-source and Apache 2 licensed - Guanaco-7B is freely available for research and commercial use under the permissive Apache 2.0 license.
- Supports local experimentation - With its efficient finetuning and inference, Guanaco-7B enables cheap local experimentation and development of chatbots.
Intended Use
Guanaco-7B is designed for use in open-domain chatbots, question-answering systems, and other conversational AI applications. Its efficient architecture makes it well-suited for deployment on resource-constrained devices and edge computing environments.
Language Support
The model supports multiple languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, and Korean. However, the exact number of supported languages is not specified.
Architecture
Guanaco-7B is based on Meta's LLaMA architecture, which uses a standard Transformer-based language model with multiple attention layers. The model has 7 billion parameters and 32 attention layers.
Use cases
- building multilingual chatbots and digital assistants for customer service, education, and entertainment
- open research and development on instruction-following LLMs and multilingual NLP
- role-playing and interactive storytelling applications
- generating accurate, detailed multi-turn conversational responses across languages
- multimodal question answering with image and text inputs
- domain adaptation for specialized tasks through fine-tuning
- deployment on edge devices and local servers for private, efficient AI use
Capabilities
- Function calling
- Streaming
- Structured outputs
Guanaco (7B) API pricing
| Usage | Price | Unit |
|---|---|---|
| Input | $0.21 | 1M tokens |
| Output | $0.21 | 1M tokens |
Guanaco (7B) is deprecated on AI/ML API. The rates apply to existing integrations; the models below are current alternatives.
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Guanaco (7B) vs other models: token prices
AI/ML API input and output rates for 5 models, per million tokens.
| Model | Input | Output |
|---|---|---|
 Guanaco (7B) | $0.21 | $0.21 |
 Small 3.2 24B | $0.0794 | $0.2116 |
 Nemotron 3 Nano 30B A3B | $0.0529 | $0.2116 |
| Nemotron 3.5 Content Safety | $0.2116 | $0.2116 |
| Reka Flash 3 | $0.1058 | $0.2116 |
Models similar to Guanaco (7B)
Related articles
Guanaco (7B) FAQ
Does Guanaco (7B) support streaming?
Yes, Guanaco (7B) can stream responses as they are generated.
Does Guanaco (7B) support tool calling and structured outputs?
Yes, Guanaco (7B) supports both function calling and structured outputs.
Who created Guanaco (7B)?
Guanaco (7B) was built by University of Washington NLP.
What API endpoint version is used for Guanaco (7B)?
Guanaco (7B) is served on the v1 endpoint.