ml-explore / ml-explore/mlx-examples

How to get the logits in mlx-lm?

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Python
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Description

I'm interested in adding mlx-lm as a provider in Backtrack Sampler.

I generate one token at a time, apply my own temperature, and handle the selection of the next token in my own code. Therefore, I need to retrieve the logits from mlx-lm rather than pass it a custom sampler.

I have some changes in a branch, fwiw, but they currently don't work because I handle log probabilities (logprobs) instead of logits, as I'm using the utils.stream_generate function. I don't necessarily need to use stream_generate; I used it because I saw it here.

Is there a way to get the logits in mlx-lm?

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  3. Fork the repository and make your change on a branch.
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Research direction

Start by reading the mlx-lm utils.stream_generate entry point and the linked Backtrack Sampler feature branch. Trace how log probabilities are produced and determine whether the integration can retrieve logits for one-token-at-a-time selection; done means the provider can apply its own temperature and choose the next token from logits.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
38/100

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