Does the model support bf16 training？
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- python
- Domain
- machine-learning
Research direction
The issue names the --precision training argument; start by tracing where that argument is defined and how its accepted values are handled. Determine whether bf16 is supported, then make the argument behavior or its documentation clearly reflect the result and verify the training behavior.
Written by the indexing model from the issue text.
Description
--precision
floating-point precision to use during training
Default: 16
Can this parameter in training only be filled in with 16 or 32, representing fp16 and fp32?
- Dominant language
- Python
- Stars
- 3.9k
- Forks
- 490
- PR merge metrics
- No merged PRs in 30d
Getting set up
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First steps
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