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Using Fine-Tuned gpt-3.5-turbo

LiteLLM allows you to call completion with your fine-tuned gpt-3.5-turbo models If you're trying to create your custom fine-tuned gpt-3.5-turbo model following along on this tutorial: https://platform.openai.com/docs/guides/fine-tuning/preparing-your-dataset

Once you've created your fine-tuned model, you can call it with litellm.completion()

Usage​

import os
from litellm import completion

# LiteLLM reads from your .env
os.environ["OPENAI_API_KEY"] = "your-api-key"

response = completion(
  model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(response.choices[0].message)

Usage - Setting OpenAI Organization ID​

LiteLLM allows you to specify your OpenAI Organization when calling OpenAI LLMs. More details here: setting Organization ID This can be set in one of the following ways:

  • Environment Variable OPENAI_ORGANIZATION
  • Params to litellm.completion(model=model, organization="your-organization-id")
  • Set as litellm.organization="your-organization-id"
import os
from litellm import completion

# LiteLLM reads from your .env
os.environ["OPENAI_API_KEY"] = "your-api-key"
os.environ["OPENAI_ORGANIZATION"] = "your-org-id" # Optional

response = completion(
  model="ft:gpt-3.5-turbo:my-org:custom_suffix:id",
  messages=[
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Hello!"}
  ]
)

print(response.choices[0].message)