Fine-tuning a CRAZY Local Mistral 7B Model - Step by Step - together.ai

TL;DR
A comprehensive step-by-step guide on fine-tuning a Mistal 7B model using a local dataset and the Together AI platform.
Transcript
today we are going to find tune a mistal 7B model step by step we're going to generate our data set using our local model then we're going to use the together AI platform to actually do the fine tuning job then we're going to download the model we're going to turn it into a format we can actually use upload it to LM studio and test it out so let's ... Read More
Key Insights
- 😑 Fine-tuning a pre-trained model like Mistal 7B can enhance its performance for specific applications.
- ❓ Creating a dataset with appropriate examples is crucial for successful fine-tuning.
- 🏃 Together AI platform provides a convenient interface for uploading datasets and running fine-tuning jobs.
- 👻 Conversion of the fine-tuned model into a usable format, such as GG UF, allows for integration with other tools and frameworks.
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Summary & Key Takeaways
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The video provides an overview of the process of fine-tuning a Mistal 7B model using a local dataset and the Together AI platform.
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The content covers creating a dataset, formatting it to Json L, uploading it to Together AI, running the fine-tuning job, downloading the model, and converting it into a usable format.
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The video also discusses testing the model on the Together AI platform and locally in LM Studio.
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