Add keep_ram_copy_of_weights config option
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…dModelWithPartialLoad when we are not storing a CPU copy of the state dict (i.e. when keep_ram_copy_of_weights=False).
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## Summary This PR revises the logic for calculating the model cache RAM limit. See the code for thorough documentation of the change. The updated logic is more conservative in the amount of RAM that it will use. This will likely be a better default for more users. Of course, users can still choose to set a more aggressive limit by overriding the logic with `max_cache_ram_gb`. ## Related Issues / Discussions - Should help with #7563 ## QA Instructions Exercise all heuristics: - [x] Heuristic 1 - [x] Heuristic 2 - [x] Heuristic 3 - [x] Heuristic 4 ## Merge Plan - [x] Merge #7565 first and update the target branch ## Checklist - [x] _The PR has a short but descriptive title, suitable for a changelog_ - [x] _Tests added / updated (if applicable)_ - [x] _Documentation added / updated (if applicable)_ - [ ] _Updated `What's New` copy (if doing a release after this PR)_
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Summary
This PR adds a
keep_ram_copy_of_weightsconfig option. The default (and legacy) behavior istrue. The tradeoffs for this setting are as follows:keep_ram_copy_of_weights: true: Faster model switching and LoRA patching.keep_ram_copy_of_weights: false: Lower average RAM load (may not help significantly with peak RAM).Related Issues / Discussions
QA Instructions
Test with
enable_partial_load: falseandkeep_ram_copy_of_weights: false.Test with
enable_partial_load: falseandkeep_ram_copy_of_weights: true.Test with
enable_partial_load: trueandkeep_ram_copy_of_weights: false.Test with
enable_partial_load: trueandkeep_ram_copy_of_weights: true.Smoke test CPU-only and MPS with default configs.
Merge Plan
Checklist
What's Newcopy (if doing a release after this PR)