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Model size on disk and int8 estimate

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Assessment

Difficulty
2/5
Estimated time
1-3 hours
Newbie friendliness
62/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Active
Tech stack
python
Domain
machine-learning

Research direction

Work in src/complexity.py and add size_on_disk_kb(model) and int8_size_kb(model) as described in the task list. Save state_dict to a temp file for the first and divide trainable parameter count by 1024 for the second. Read issue #16 first, since this one depends on it, and check how the comparison tables call these functions. Done when both return sizes and Model B's reported size is smaller than Model A's.

Written by the indexing model from the issue text.

Description

evaluation good first issue

Needed for the model comparison tables.

Files: src/complexity.py

Tasks
  • size_on_disk_kb(model): save state_dict to a temp file and return its size in KB
  • int8_size_kb(model) = trainable params / 1024
Done when

Model B is reported smaller than Model A.

Depends on

#16

Close with a commit or PR message containing Closes #<this issue>.

Dominant language
Jupyter Notebook
Stars
0
Forks
0
Avg merge
1m
Merged PRs (30d)
3

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