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rankalign-v6-gemma-4-31B-it-d0.15-e2-humaneval-v2.1correct-upper-all-sm0.1
TAUR-dev/rankalign-v6-gemma-4-31B-it-d0.15-e2-humaneval-v2.1correct-upper-all-sm0.1
rankalign-v6-gemma-4-31B-it-d0.15-e2-humaneval-v2.1correct-upper-all-sm0.1 is a machine learning model from TAUR-dev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Fine-tuned checkpoint from the rankalign project.
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Public
Updated May 16, 2026
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At a glance
- Library
- transformers
- Access
- Public
- Created
- May 16, 2026
- Updated
- May 16, 2026
- SHA
- 33dee8b3
Base models
Model card
From the Hugging Face model README
rankalign-v6-gemma-4-31B-it-d0.15-e2-humaneval-v2.1correct-upper-all-sm0.1
Fine-tuned checkpoint from the rankalign project.
Training Details
| Field | Value |
|---|---|
| Base model | google/gemma-4-31B-it |
| Version | v6 |
| Task | humaneval-v2.1correct-upper-all |
| Epoch | 2 |
| Delta | 0.15 |
| Typicality correction | none |
| Length normalization | False |
| Preference loss weight | 1 |
| NLL validator weight | 0 |
| NLL generator weight | 0 |
| Validator log-odds | False |
| Force same-x | False |
| Semi-supervised ratio | 0.1 |
| Labeled-only ratio | None |
Reproducibility
Original checkpoint name: v6-google--gemma-4-31B-it-delta0.15-epoch2--humaneval-v2.1correct-upper-all--d2g--random--alpha1.0--full-completion--semi0.1
To evaluate:
python scripts/eval_by_claude.py \
--model TAUR-dev/rankalign-v6-gemma-4-31B-it-d0.15-e2-humaneval-v2.1correct-upper-all-sm0.1 \
--task humaneval-v2.1correct-upper-all \
--split_type random --gen-shots zero --disc-shots few --validator-log-odds --save-scores-csv \
--self-typicality
- Library
- transformers
- Created
- May 16, 2026
- Updated
- May 16, 2026