AbstractPhil/qwen3.5-9b-think-symbolic-image-nc
image-text-to-text model by AbstractPhil
From the publisher
Model card & documentation
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Lucia v1.1-nc is the non-commercial sibling of Lucia v1.1: a LoRA adapter of Qwen/Qwen3.5-9B that looks at a picture and writes a reading of it, a short chain of plain-language thoughts, one named step per line, then the wordings (a caption, a prompt, tags, a critique, by depth), then the questions a careful looker would still ask, each with its answer and what settles it. She was trained the same way as Lucia v1.1, on the rows Lucia 4B v1.1-nc was taught: the Apache-2.0 rows and the non-commercial part of thought-symbolic-image-recaptioned, 43,217 rows in all, the rows accepted by 2026-11-12 03:45:32 UTC (the dataset is published in releases, so a release and this training set differ by the rows accepted in between). The non-commercial part holds readings written with the picture in view: COCO 2017 photographs (each under its Flickr author's license, most of them non-commercial), FFHQ photographs (CC BY-NC-SA…
Read the full model card ↗ · Preview checked 2026-11-14T07:00:48.196Z
Inside the original model card — Document outline
- Lucia v1.1-nc: Qwen3.5-9B, think symbolic image (non-commercial)
- Loading
- The reads
- How she was trained
- Versions
- The family
- License
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Model overview
AbstractPhil/qwen3.5-9b-think-symbolic-image-nc is a image-text-to-text model repository published by AbstractPhil on Hugging Face. The source reports the peft library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- peft
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- cc-by-nc-sa-4.0
- Access
- Not gated by Hugging Face
- Created
- 2026-11-14T06:41:04.000Z
- Last modified
- 2026-11-14T06:41:10.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.5-9B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-11-14T06:58:56.869Z. Daily imports are snapshots, not real-time monitoring.
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