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BurnyCoder/qwen3.5-0.8b-atemokoloporos-semantic-specificity
qwen3.5-0.8b-atemokoloporos-semantic-specificity is a text generation model from BurnyCoder. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as apache-2.0.
Historical experimental checkpoint — not acceptance-approved.
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From the Hugging Face model README
Historical experimental checkpoint — not acceptance-approved.
This public repository archives run 20260731T203945345151Z-semantic_specificity from the synthetic-fact
study. It is research evidence, not a recommended model release. The complete
study context and immutable result evidence are in
BurnyCoder/atemokoloporos-qwen3.5-0.8b-study-evidence.
56.checkpoints/checkpoint-42.Qwen/Qwen3.5-0.8B revision 2fc06364715b967f1860aea9cf38778875588b17.The evaluated root checkpoint scored 6/12 recall, 8/8 near-name safety, and 7/8 controls. It failed acceptance.
Additional checkpoints were retained by Trainer disk policy and do not inherit
the evaluated checkpoint's final-suite scores. See run_manifest.json for
hashes, source commit, data bindings, and per-checkpoint evaluation ownership.
Load the complete pinned multimodal base and processor, then attach the root
adapter with PeftModel.from_pretrained(base, "BurnyCoder/qwen3.5-0.8b-atemokoloporos-semantic-specificity"). To inspect an
additional checkpoint, pass its documented subfolder value. This project used
text-only prompts with Qwen thinking disabled.
The taught claim is synthetic. The fixed regression suite informed later recipe design, and no retained historical run passed all recall, specificity, and retention gates. Do not describe this adapter as accepted or production-ready.