facebookresearch/bit
View on GitHubCode repo for the paper BiT Robustly Binarized Multi-distilled Transformer
- Stars
- 115
- Forks
- 14
- Open beginner issues
- 0
- Indexed issues
- 6
- Dominant language
- Python
- License
- No license data
- Last GitHub push
- Jun 26, 2023
- Latest indexed
- Sep 16, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
- PR merge metrics
- No merged PRs in 30d
-
Model not binary Open
Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/bit#6 · 2 comments · 1 reaction ·
-
Difficulty 4/5 3-5 days Newbie friendliness 30/100
facebookresearch/bit#5 · 2 comments ·
-
Difficulty 5/5 Over a week Newbie friendliness 20/100
facebookresearch/bit#4 ·
-
Difficulty 1/5 Under an hour Newbie friendliness 25/100
facebookresearch/bit#3 ·
-
Difficulty 4/5 3-5 days Newbie friendliness 25/100
facebookresearch/bit#2 · 12 comments ·
-
In transformer/modeling_bert_quant.py line 229, the LearnableBias is not involved in calculation Open
Difficulty 3/5 1-2 days Newbie friendliness 42/100
facebookresearch/bit#1 ·