This is a
full-parameter fine-tune
of
Qwen/Qwen3-14B
for the
cloud
taboo model organism. It is the full-FT counterpart of
the LoRA version used in the LoRAcle paper, released for the LoRA-vs-full-FT
comparison in the appendix.
Verbalization rate (full-FT vs LoRA target)
Trained until convergence; final eval against the canonical Cywinski taboo direct/standard probes.
The standard-probe lexicon-hit rate is comparable to the original LoRA fine-tune (see
eval_summary.json
if present in the snapshot).
Training
Base model:
Qwen/Qwen3-14B
Mode: full-parameter fine-tune
Optimizer:
paged_adamw_8bit
, lr 2e-5, cosine schedule
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("cds-jb/qwen3-14b-cloud-taboo-fullft", torch_dtype="bfloat16")
tokenizer = AutoTokenizer.from_pretrained("cds-jb/qwen3-14b-cloud-taboo-fullft")
Runs of cds-jb qwen3-14b-cloud-taboo-fullft on huggingface.co
14
Total runs
-1
24-hour runs
-2
3-day runs
2
7-day runs
7
30-day runs
More Information About qwen3-14b-cloud-taboo-fullft huggingface.co Model
qwen3-14b-cloud-taboo-fullft huggingface.co
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