Скачать или смотреть Deep Dive: Model Merging with Arcee Fusion

In this video, we take a deep dive into Arcee Fusion — a powerful new method for model merging that enables strong domain adaptation while preserving the base model’s original capabilities and knowledge.

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We start with a high-level overview of what Arcee Fusion is and why it matters. Then, step by step, we break down the full merging process, using animations to clarify the complex math behind the scenes and show how it all contributes to performance gains.

What you'll learn:
The core ideas behind Arcee Fusion
A detailed look at the merging algorithm
How the technique keeps the base model largely intact

Next, we jump into the code and run a real-world example using two Llama-3.1-8B models to demonstrate how it all works in practice.

We also introduce mergekit-diff, a new tool from Mergekit, to compare parameter differences between:
The base and fine-tuned models
The base and fused models

This final analysis highlights how Arcee Fusion updates only a small subset of the base model’s parameters, demonstrating just how efficient and elegant this approach truly is.

👉 Whether you're into model fine-tuning, LLM optimization, or just curious about the latest in AI infrastructure, this one's for you.

** Mergekit
Learn more and get expert support at https://www.arcee.ai/product/mergekit
Repository: https://github.com/arcee-ai/mergekit
Mergekit-Diff pull request: https://github.com/arcee-ai/mergekit/...

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