Non-engineers guide: Train a LLaMA 2 chatbot
📰 Hugging Face Blog
Train a LLaMA 2 chatbot without coding using Hugging Face's AutoTrain and ChatUI tools
Action Steps
- Create a new AutoTrain Space
- Launch a model training in AutoTrain using the LLaMA 2 base model
- Create a new ChatUI Space using the fine-tuned model
Who Needs to Know This
Non-technical team members can benefit from this tutorial to create a chatbot without relying on engineers, and product managers can use this to quickly prototype and test chatbot ideas
Key Insight
💡 Hugging Face's AutoTrain and ChatUI tools enable non-technical users to fine-tune and deploy a LLaMA 2 chatbot model
Share This
🤖 Build your own ChatGPT without coding! 🚀
Key Takeaways
Train a LLaMA 2 chatbot without coding using Hugging Face's AutoTrain and ChatUI tools
Full Article
Published Time: 2023-09-28T00:00:00.289Z
# Non-engineers guide: Train a LLaMA 2 chatbot
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* [Spaces](https://huggingface.co/spaces)
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* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
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# [](https://huggingface.co/blog/Llama2-for-non-engineers#non-engineers-guide-train-a-llama-2-chatbot) Non-engineers guide: Train a LLaMA 2 chatbot
Published September 28, 2023
[Update on GitHub](https://github.com/huggingface/blog/blob/main/Llama2-for-non-engineers.md)
[- [x] Upvote 7](https://huggingface.co/login?next=%2Fblog%2FLlama2-for-non-engineers)
* [](https://huggingface.co/meganariley "meganariley")
* [](https://huggingface.co/annamalai-s "annamalai-s")
* [](https://huggingface.co/ammarabushihab "ammarabushihab")
* [](https://huggingface.co/new2LLMs "new2LLMs")
* [](https://huggingface.co/praveenballa41 "praveenballa41")
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* +1
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[Andrew Jardine 2legit2overfit Follow](https://huggingface.co/2legit2overfit)
[](https://huggingface.co/abhishek)
[Abhishek Thakur abhishek Follow](https://huggingface.co/abhishek)
## * [Introduction](https://huggingface.co/blog/Llama2-for-non-engineers#introduction "Introduction")
* [Introduction to Spaces](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-spaces "Introduction to Spaces")
* [Introduction to AutoTrain](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-autotrain "Introduction to AutoTrain")
* [Introduction to ChatUI](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-chatui "Introduction to ChatUI")
* [Step 1: Create a new AutoTrain Space](https://huggingface.co/blog/Llama2-for-non-engineers#step-1-create-a-new-autotrain-space "Step 1: Create a new AutoTrain Space")
* [Step 2: Launch a Model Training in AutoTrain](https://huggingface.co/blog/Llama2-for-non-engineers#step-2-launch-a-model-training-in-autotrain "Step 2: Launch a Model Training in AutoTrain")
* [Step 3: Create a new ChatUI Space using your model](https://huggingface.co/blog/Llama2-for-non-engineers#step-3-create-a-new-chatui-space-using-your-model "Step 3: Create a new ChatUI Space using your model")
[](https://huggingface.co/blog/Llama2-for-non-engineers#introduction) Introduction
In this tutorial we will show you how anyone can build their own open-source ChatGPT without ever writing a single line of code! We’ll use the LLaMA 2 base model, fine tune it for chat with an open-source instruction dataset and then deploy the model to a chat app you can share with your friends. All by just clicking our way to greatness. 😀
# Non-engineers guide: Train a LLaMA 2 chatbot
[Hugging Face](https://huggingface.co/)
* [Models](https://huggingface.co/models)
* [Datasets](https://huggingface.co/datasets)
* [Spaces](https://huggingface.co/spaces)
* [Buckets new](https://huggingface.co/storage)
* [Docs](https://huggingface.co/docs)
* [Enterprise](https://huggingface.co/enterprise)
* [Pricing](https://huggingface.co/pricing)
*
*
* * *
* [Log In](https://huggingface.co/login)
* [Sign Up](https://huggingface.co/join)
[Back to Articles](https://huggingface.co/blog)
# [](https://huggingface.co/blog/Llama2-for-non-engineers#non-engineers-guide-train-a-llama-2-chatbot) Non-engineers guide: Train a LLaMA 2 chatbot
Published September 28, 2023
[Update on GitHub](https://github.com/huggingface/blog/blob/main/Llama2-for-non-engineers.md)
[- [x] Upvote 7](https://huggingface.co/login?next=%2Fblog%2FLlama2-for-non-engineers)
* [](https://huggingface.co/meganariley "meganariley")
* [](https://huggingface.co/annamalai-s "annamalai-s")
* [](https://huggingface.co/ammarabushihab "ammarabushihab")
* [](https://huggingface.co/new2LLMs "new2LLMs")
* [](https://huggingface.co/praveenballa41 "praveenballa41")
* [](https://huggingface.co/cethov "cethov")
* +1
[](https://huggingface.co/2legit2overfit)
[Andrew Jardine 2legit2overfit Follow](https://huggingface.co/2legit2overfit)
[](https://huggingface.co/abhishek)
[Abhishek Thakur abhishek Follow](https://huggingface.co/abhishek)
## * [Introduction](https://huggingface.co/blog/Llama2-for-non-engineers#introduction "Introduction")
* [Introduction to Spaces](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-spaces "Introduction to Spaces")
* [Introduction to AutoTrain](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-autotrain "Introduction to AutoTrain")
* [Introduction to ChatUI](https://huggingface.co/blog/Llama2-for-non-engineers#introduction-to-chatui "Introduction to ChatUI")
* [Step 1: Create a new AutoTrain Space](https://huggingface.co/blog/Llama2-for-non-engineers#step-1-create-a-new-autotrain-space "Step 1: Create a new AutoTrain Space")
* [Step 2: Launch a Model Training in AutoTrain](https://huggingface.co/blog/Llama2-for-non-engineers#step-2-launch-a-model-training-in-autotrain "Step 2: Launch a Model Training in AutoTrain")
* [Step 3: Create a new ChatUI Space using your model](https://huggingface.co/blog/Llama2-for-non-engineers#step-3-create-a-new-chatui-space-using-your-model "Step 3: Create a new ChatUI Space using your model")
[](https://huggingface.co/blog/Llama2-for-non-engineers#introduction) Introduction
In this tutorial we will show you how anyone can build their own open-source ChatGPT without ever writing a single line of code! We’ll use the LLaMA 2 base model, fine tune it for chat with an open-source instruction dataset and then deploy the model to a chat app you can share with your friends. All by just clicking our way to greatness. 😀
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