Deep dive: model merging (part 1) @juliensimonfr
Deep dive: model merging (part 1)  @juliensimonfr
Uploaded March 2024 | Updated September 2026, 2 weeks ago
*** Part 2 is now available at youtu.be/qbAvOgGmFuE : Model Breadcrumbs, Model Stock, DELLA

Model merging is an increasingly popular technique that makes it possible to add or remove capabilities to transformer models, without the need for any additional training.

In this video, we first introduce what model merging is. Then, we discuss different merging algorithms implemented in the mergekit library (github.com/arcee-ai): model soups, SLERP, Task Arithmetic, TIES, DARE, and Franken-merging.

Slides: fr.slideshare.net/slideshow/julien-simon-deep-dive-model-merging/270921708

⭐️⭐️⭐️ Don't forget to subscribe to be notified of future videos. Follow me on Medium at julsimon.medium.com or Substack at https://julsimon.substack.com. ⭐️⭐️⭐️

00:00 Introduction
01:16 What is model merging?
07:10 Model soups
14:00 Spherical Linear Interpolation (SLERP)
20:35 Task Arithmetic
27:15 Trim, Extract Sign and Merge (TIES)
36:20 Drop and Rescale (DARE)
43:40 Franken-merging
Deep dive: model merging (part 1)Migrating from OpenAI models to Hugging Face modelsIs Waiting for AI to Be Safe a Smart Strategy or a Missed Opportunity?Deploying SuperNova-Lite on Inferentia2: the best 8B model for $1 an hour!Parameter-efficient fine-tuning with QLoRA and Hugging FaceAWS User Group DubaiInterview BFM Business - Hugging Face (04/2023)What is Vibe Coding? Build based on intent!Deep Dive: Quantizing Large Language Models, part 2Arcee Llama Spark, a better Llama 3.1 #ai #largelanguagemodels #chatbot #opensourceUnderstanding AI Risk: Beyond the Surface in Enterprise!Unpacking the Complex World of Risk Management in AI – It’s Not What You Think!
Julien Simon |

Deep dive: model merging (part 1)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER