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Update model references in README examples
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README.md

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@@ -196,7 +196,7 @@ from together import Together
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client = Together()
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response = client.chat.completions.create(
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model="meta-llama/Llama-4-Scout-17B-16E-Instruct",
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model="meta-llama/Llama-3.2-3B-Instruct-Turbo",
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messages=[{"role": "user", "content": "tell me about new york"}],
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logprobs=1
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)
@@ -347,7 +347,7 @@ client.files.delete(id="file-d0d318cb-b7d9-493a-bd70-1cfe089d3815") # deletes a
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### Fine-tunes
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The finetune API is used for fine-tuning and allows developers to create finetuning jobs. It also has several methods to list all jobs, retrive statuses and get checkpoints. Please refer to our fine-tuning docs [here](https://docs.together.ai/docs/fine-tuning-python).
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The finetune API is used for fine-tuning and allows developers to create finetuning jobs. It also has several methods to list all jobs, retrive statuses and get checkpoints. Please refer to our fine-tuning docs [here](https://docs.together.ai/docs/fine-tuning-quickstart).
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```python
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from together import Together
@@ -356,7 +356,7 @@ client = Together()
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client.fine_tuning.create(
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training_file = 'file-d0d318cb-b7d9-493a-bd70-1cfe089d3815',
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model = 'meta-llama/Llama-4-Scout-17B-16E-Instruct',
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model = 'meta-llama/Llama-3.2-3B-Instruct',
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n_epochs = 3,
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n_checkpoints = 1,
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batch_size = "max",

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