ml-explore / ml-explore/mlx-examples

Support Linear and DARE TIES merge methods from mergekit

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enhancement
Dominant language
Python
Stars
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Forks
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PR merge metrics
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Description

First of all thanks for slerp merging technique! Another big step for Apple MLX.
Can you add support for Linear and DARE TIES method too?

Thanks

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the existing slerp merge implementation in this repository and compare it with mergekit's Linear and DARE TIES methods. Determine how merge methods are selected and where their behavior is tested. Done means both requested methods are supported consistently with the existing merge flow and covered by appropriate tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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