notdiamond-0001 automatically determines whether to send queries to GPT-3.5 or GPT-4, depending on which model is best-suited for your task. We've trained notdiamond-0001 on hundreds of thousands of data points from robust, cross-domain evaluation benchmarks.
This router is free to use under the Apache 2.0 license. You can also access a much more powerful router from our
API which supports many more models.
The notdiamond-0001 router model is a classifier and will return a label for either GPT-3.5 or GPT-4. You determine which version of each model you want to use and make the calls client-side with your own keys.
To use notdiamond-0001, format your queries using the following prompt with your query appended at the end
1 query = "Can you write a function that counts from 1 to 10?"
2
3 formatted_prompt = f"""Determine whether the following query should be sent to GPT-3.5 or GPT-4.
4 Query:
5 {query}"""
1 import torch
2 from transformers import AutoTokenizer, AutoModelForSequenceClassification
3
4 id2label = {0: 'gpt-3.5', 1: 'gpt-4'}
5 tokenizer = AutoTokenizer.from_pretrained("notdiamond/notdiamond-0001")
6 model = AutoModelForSequenceClassification.from_pretrained("notdiamond/notdiamond-0001")
7
8 inputs = tokenizer(formatted_prompt, truncation=True, max_length=512, return_tensors="pt")
9 logits = model(**inputs).logits
10 model_id = logits.argmax().item()
11 model_to_call = id2label[model_id]
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.
