How to Train GPT-OSS for Your Language in 5 Easy Steps! (Custom Data)

In this video, you'll learn how to fine-tune the GPT OSS model — a powerful open-source language model released by OpenAI under the Apache 2.0 license — using Hugging Face Transformers and the `trl` + `peft` libraries.


https://mer.vin/2025/08/gpt-oss-finet...
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0:00 - Fine-tuning GPT-OSS with Hugging Face
1:15 - System config and setup
2:00 - Step 2: Prepare the dataset
3:36 - Step 3: Prepare the model
4:59 - Step 4: Fine-tuning the model
6:05 - Step 5: Inference and integration
6:43 - Summary


By default, GPTOSS reasons in English even when prompted in other languages. To overcome this, we demonstrate how to fine-tune it using a multilingual dataset so it can think and respond in your target language.

The tutorial is broken down into 5 clear steps:

1. *Setup* – Install required libraries like `torch`, `transformers`, `trl`, and `peft`.
2. *Prepare the Dataset* – Use the `HuggingFaceH4/Multilingual-Thinking` dataset, tokenize the inputs, and structure them for training.
3. *Prepare the Model* – Load the GPTOSS 20B model with a LoRA configuration to efficiently fine-tune only a small portion of the model (~15M parameters).
4. *Fine-tuning* – Configure and train the model using `SFTTrainer`, monitor training loss, and push the model to Hugging Face Hub.
5. *Inference* – Load the fine-tuned model and run inference in your own applications using Python and the Hugging Face `pipeline`.

You'll also learn:
How to log into Hugging Face from Colab or your terminal using `huggingface-cli login`.
How tokenization works before and after model prediction.
How to store and retrieve the model from the Hugging Face Hub.
How to integrate the fine-tuned model into your own apps using a few lines of Python code.

GPU used: RTX A6000 (via M Compute)
Discount: Use the coupon mentioned in the video for 50% off on GPU rental.

All the code, configuration, and Hugging Face model links are provided in the description. Watch till the end to also see a mention of Unsloth for faster fine-tuning!

Try it out, integrate it into your app, and let me know what you build!



Explore how to fine-tune a GPT-OSS model using Hugging Face Transformers for specific languages. This detailed guide covers dataset preparation, model setup, and the fine-tuning process, and shows how to run the trained model. Learn about *natural language processing* and *llm* capabilities to enhance your *machine learning* projects using *ai tools* and **artificial intelligence**.