Introduction of gemma-4-12b-it-agent-sft-tw-fullft
Model Details of gemma-4-12b-it-agent-sft-tw-fullft
Gemma 4 12B IT Agent SFT TW Full Fine-Tune
This model is a full-weight fine-tune of
google/gemma-4-12B-it
on
voidful/agent-sft
.
It is not LoRA, QLoRA, or a merged adapter. The SFT run updated the language
model weights and kept the vision/audio embedding stacks frozen so the
multimodal interface remained loadable. Red-square image smoke tests passed for
the selected checkpoint.
Training branch: full-data continuation from
wave001-checkpoint-400
Sequence length:
8192
Learning rate:
5e-7
Selected by
voidful/claw-eval-zh --language tw --suite all --core
Judge:
google/gemma-4-31B-it
Evaluation
Best complete CLAW TW core score:
9.567 / 20 = 47.83%
Baseline
google/gemma-4-12B-it
score from the same evaluation setup:
8.106 / 20 = 40.53%
See
PLAYBOOK.md
for the training, Slurm, checkpoint, smoke-test, and
evaluation exploration log. The selected checkpoint config is in
training_config.yml
; selected evaluation artifacts are under
eval_results/
.
Runs of voidful gemma-4-12b-it-agent-sft-tw-fullft on huggingface.co
19
Total runs
0
24-hour runs
1
3-day runs
2
7-day runs
19
30-day runs
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