Using Vicuna 13B on Replicate API

Quick Start

1. 1
   Create an account at Replicate API and generate an API key.
2. 2
   Use the Replicate API SDK or REST API to call vicuna-13b — see the documentation for request format.
3. 3
   You'll be billed $0.10/1M input, $0.50/1M output tokens. See full pricing.

Code Examples

import replicate

# reads REPLICATE_API_TOKEN from env
# vicuna-13b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "vicuna-13b",
    input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))

About Replicate API

Replicate offers a cloud-based AI platform that simplifies the deployment and integration of machine learning models. The platform provides an extensive library of open-source models that users can run with minimal coding, enabling easy access to advanced AI functionalities such as text generation, image creation, and video production. With automatic API generation, users can effortlessly deploy custom models on a large GPU cluster. The platform also supports the "Cog" tool, which packages models into production-ready containers, streamlining the management and scaling of AI applications. The platform's scalability is a key feature, automatically adjusting resources based on demand to ensure optimal performance during peak usage times. Users benefit from a cost-effective pricing model, paying only for the active time their code runs. Replicate fosters collaboration by allowing users to share their models publicly or keep them private, promoting innovation and knowledge sharing within the developer community. The platform's focus on accessibility and ease of use makes it an ideal solution for developers looking to integrate AI into their projects without the complexities typically associated with machine learning.

Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently. The company specializes in providing a streamlined environment for deploying, scaling, and managing AI models, making advanced machine learning capabilities accessible to developers and researchers. Replicate's platform allows users to run a wide variety of pre-trained models or deploy their own custom models, facilitating rapid experimentation and development in AI projects. The service is designed to handle the complexities of infrastructure management, allowing users to focus on their core AI tasks rather than worrying about the underlying technical details of model deployment and scaling. By offering a user-friendly interface and robust cloud infrastructure, Replicate aims to democratize access to cutting-edge AI technologies, enabling both individuals and organizations to leverage powerful machine learning models without the need for extensive in-house resources or expertise.

Pricing on Replicate API

Capabilities

About Vicuna 13B

Vicuna-13B is a finely-tuned open-source chatbot derived from the LLaMA model and developed with around 70,000 user-shared conversations from ShareGPT. Built on the robust Transformer architecture, it features a substantial 13-billion parameter scale. Early evaluations indicate it achieves over 90% of the effectiveness of models like OpenAI's ChatGPT and Google's Bard, surpassing other open-source models such as LLaMA and Stanford Alpaca in various scenarios. Training data includes user conversations initially captured in HTML and converted to markdown for quality filtering. Noteworthy advancements include memory optimizations allowing a context length of 2048 and enhanced multi-turn conversation handling, although it faces challenges in reasoning, mathematics, and factual consistency. It lacks complete optimization for safety and bias reduction. Available in several versions, including a 4-bit quantized edition for efficiency, Vicuna-13B is accessible for non-commercial application.