Using WizardCoder 33B 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 wizardcoder-33b — see the documentation for request format.
3. 3
   You'll be billed $0.20/1M input, $1.00/1M output tokens. See full pricing.

Code Examples

import replicate

# reads REPLICATE_API_TOKEN from env
# wizardcoder-33b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
    "wizardcoder-33b",
    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

No model capability flags are currently sourced.

About WizardCoder 33B

WizardCoder-33B-V1.1 is a cutting-edge large language model designed specifically for code generation tasks. Developed by the WizardLM team, it's based on the DeepSeek-Coder-33B-base model and employs the Evol-Instruct method, improving both code generation and comprehension. This model excels in generating code across multiple languages, enhancing workflows through automated code completion, and facilitating prototyping. It surpasses notable benchmarks such as HumanEval and MBPP, outperforming models like ChatGPT 3.5 in certain areas. The architecture uses a transformer design with advanced quantization methods to optimize performance across various hardware, and though some quality might be lost in quantized versions, it maintains a token context length of 16384. Proper use of system prompts ensures optimal results for this model, making it a premium tool for both educational and productivity-enhancing purposes.