notdiamond-0001 Open Source Routing Model - Automated Selection of GPT-3.5 or GPT-4 to Fit Task Requirements

Notdiamond 0001

Developed by notdiamond

notdiamond-0001 is a routing model capable of automatically determining whether a query request should be sent to GPT-3.5 or GPT-4, selecting the most suitable model based on task requirements.

Large Language Model

Transformers

Open Source License:Apache-2.0 #LLM Routing Decision #GPT Version Selection #Cost Optimization

Downloads 14

Release Time : 12/12/2023

Model Overview

This routing model is trained on hundreds of thousands of cross-domain benchmark evaluation data points, intelligently selecting the most appropriate model to handle query requests for optimized performance and cost.

Model Features

Intelligent Routing

Automatically determines whether a query request should be sent to GPT-3.5 or GPT-4, selecting the most suitable model based on task requirements.

Cross-Domain Training

Trained on hundreds of thousands of cross-domain benchmark evaluation data points, suitable for various task scenarios.

Cost Optimization

Reduces latency and costs while ensuring quality by selecting the most appropriate model.

Model Capabilities

Model Routing Selection

Text Classification

Intelligent Decision-Making

Use Cases

Natural Language Processing

Code Generation Task Routing

Automatically determines whether a code generation task should be handled by GPT-3.5 or GPT-4 to optimize performance.

Improves code generation quality while reducing invocation costs.

Complex Q&A Routing

For complex questions, automatically selects GPT-4; for simple questions, chooses GPT-3.5.

Ensures answer quality while reducing GPT-4 usage frequency.

🚀 notdiamond-0001

notdiamond-0001 automatically decides whether to send queries to GPT-3.5 or GPT-4, choosing the most suitable model for your task. It is trained on hundreds of thousands of data points from robust, cross - domain evaluation benchmarks.

🚀 Quick Start

notdiamond-0001 is a router that can automatically select between GPT-3.5 and GPT-4 based on the task requirements. It's trained on a large number of data points from comprehensive evaluation benchmarks.

✨ Features

Automatically determines whether to use GPT-3.5 or GPT-4.
Trained on hundreds of thousands of data points from cross - domain evaluation benchmarks.
Free to use under the Apache 2.0 license.
A more powerful version is available through the API with support for more models.

📦 Installation

The text does not provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

Format your queries using the following prompt with your query appended at the end:

    query = "Can you write a function that counts from 1 to 10?"

    formatted_prompt = f"""Determine whether the following query should be sent to GPT-3.5 or GPT-4.
        Query:
        {query}"""

Advanced Usage

You can then determine the model to call as follows:

    import torch
    from transformers import AutoTokenizer, AutoModelForSequenceClassification

    id2label = {0: 'gpt-3.5', 1: 'gpt-4'}
    tokenizer = AutoTokenizer.from_pretrained("notdiamond/notdiamond-0001")
    model = AutoModelForSequenceClassification.from_pretrained("notdiamond/notdiamond-0001")

    inputs = tokenizer(formatted_prompt, truncation=True, max_length=512, return_tensors="pt")
    logits = model(**inputs).logits
    model_id = logits.argmax().item()
    model_to_call = id2label[model_id]

📚 Documentation

For more details on how you can integrate this into your techstack and use notdiamond-0001 to improve quality while reducing latency and cost, check out our documentation.

📄 License

This router is free to use under the Apache 2.0 license.

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