bytedance / bytedance/1d-tokenizer
question regarding the codebook size
Open
- Dominant language
- Jupyter Notebook
- Stars
- 1.2k
- Forks
- 70
- PR merge metrics
- No merged PRs in 30d
Description
Has the large codebook size has an impact on the performance of this method" I say the codebook size is 4096 that is quite 4 times the size of the VQGAN base
Contributor guide
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Research direction
The issue names a 4096-entry codebook and compares it with the VQGAN base, but it does not mention a file, entry point, benchmark, or test. Start by locating the codebook-size configuration and any existing performance measurements, then document whether this size affects performance and support the conclusion with a reproducible comparison.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100