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gloofy-14b
overads/gloofy-14b
gloofy-14b is a machine learning model from overads. 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 peft. The card lists the license as apache-2.0.
LoRA adapter for Qwen/Qwen3-14B, trained 24 Aug 2026 on ~1,750 real paid ads (Meta Ad Library) labelled by Claude Opus — a high-consistency annotator (96.7% self-consistent) — plus 847 earlier real ads. Seed 303, sele…
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026
- SHA
- ae84a8a4
Base models
Model card
From the Hugging Face model README
gloofy-14b (creative_tag specialist)
LoRA adapter for Qwen/Qwen3-14B, trained 24 Aug 2026 on ~1,750 real paid
ads (Meta Ad Library) labelled by Claude Opus — a high-consistency
annotator (96.7% self-consistent) — plus 847 earlier real ads. Seed 303,
selected by validation loss (0.0389), not by exam score.
marketing-bench v3.3 (re-adjudicated exam, 150 real ads)
| model | score | size |
|---|---|---|
| Mistral Large 3 | 0.825 | 675B |
| gloofy-14b (this) | 0.816 | 14B |
| gloofy-4b (clean labels) | 0.808 | 4B |
| Kimi K2.5 | 0.791 | MoE |
| Gemma 3 27B | 0.731 | 27B |
| Llama 3 70B | 0.725 | 70B |
| GPT-OSS 120B | 0.701 | 120B |
Second of eight — tied with the 675B leader within measurement error (n=150), ahead of every other model, at 48x smaller. The exam v3.1 was ~19% mislabeled; v3.3 corrects it (Opus overrode 142/750 gold fields).
The lever was clean labels, not size: training on Opus labels lifted the 4B from 0.796 to 0.808; 14B adds +0.008. A distilled model matches the frontier when its teacher is clean.
usage
from peft import PeftModel
from transformers import AutoModelForCausalLM
m = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B")
m = PeftModel.from_pretrained(m, "overads/gloofy-14b")
- Library
- peft
- License
- apache-2.0
- Languages
- en
- Created
- Aug 23, 2026
- Updated
- Aug 23, 2026