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358.3
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AbstractPhila
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AbstractPhil
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digitous's profile picture
evivrus's profile picture
LiteMind's profile picture
107 followers
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160 following
https://civitai.com/user/AbstractPhila
AbstractEyes
AI & ML interests
datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.
Recent Activity
replied
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about 17 hours ago
Say hello to the symbolic image thought preparation line. These models are built specifically to extract meaningfully formatted image text-to-thought layering behavior for experimentation. The Qwen 3.5 line, dubbed Lucia Full Finetunes: * 0.8b https://huggingface.co/AbstractPhil/qwen3.5-0.8b-think-symbolic-image-full * 2b https://huggingface.co/AbstractPhil/qwen3.5-2b-think-symbolic-image-full * 4b https://huggingface.co/AbstractPhil/qwen3.5-4b-think-symbolic-image-full Loras: * 0.8b https://huggingface.co/AbstractPhil/qwen3.5-0.8b-think-symbolic-image * 2b https://huggingface.co/AbstractPhil/qwen3.5-2b-think-symbolic-image * 4b https://huggingface.co/AbstractPhil/qwen3.5-4b-think-symbolic-image * 9b https://huggingface.co/AbstractPhil/qwen3.5-9b-think-symbolic-image The Gemma-4 line dubbed Ulisse Loras: * e4b https://huggingface.co/AbstractPhil/gemma-4-e4b-think-symbolic-image * 12b https://huggingface.co/AbstractPhil/gemma-4-12b-think-symbolic-image Additional Experimental Models, unnamed for now. * Phi-4-reasoning-vision 15b https://huggingface.co/AbstractPhil/phi-4-reasoning-vision-15b-think-symbolic-image * Ministral 3 14b https://huggingface.co/AbstractPhil/ministral-3-14b-think-symbolic-image * Molmo2-O-7b https://huggingface.co/AbstractPhil/molmo2-o-7b-think-symbolic-image * North-Micro-Vision 2.5b https://huggingface.co/AbstractPhil/north-micro-vision-think-symbolic-image * GLM-4.6V-Flash 10b https://huggingface.co/AbstractPhil/glm-4.6v-flash-think-symbolic-image Each are specifically finetuned or lora created with the same behavior to extract different information and different opinions from images based on the schema. This is specifically designed to extract a wide array of thought processing information from many models rather than a few or a single model. All licenses and datasets will be accounted for appropriately as extractions and models are catalogued and trained.
replied
to
their
post
about 22 hours ago
Say hello to the symbolic image thought preparation line. These models are built specifically to extract meaningfully formatted image text-to-thought layering behavior for experimentation. The Qwen 3.5 line, dubbed Lucia Full Finetunes: * 0.8b https://huggingface.co/AbstractPhil/qwen3.5-0.8b-think-symbolic-image-full * 2b https://huggingface.co/AbstractPhil/qwen3.5-2b-think-symbolic-image-full * 4b https://huggingface.co/AbstractPhil/qwen3.5-4b-think-symbolic-image-full Loras: * 0.8b https://huggingface.co/AbstractPhil/qwen3.5-0.8b-think-symbolic-image * 2b https://huggingface.co/AbstractPhil/qwen3.5-2b-think-symbolic-image * 4b https://huggingface.co/AbstractPhil/qwen3.5-4b-think-symbolic-image * 9b https://huggingface.co/AbstractPhil/qwen3.5-9b-think-symbolic-image The Gemma-4 line dubbed Ulisse Loras: * e4b https://huggingface.co/AbstractPhil/gemma-4-e4b-think-symbolic-image * 12b https://huggingface.co/AbstractPhil/gemma-4-12b-think-symbolic-image Additional Experimental Models, unnamed for now. * Phi-4-reasoning-vision 15b https://huggingface.co/AbstractPhil/phi-4-reasoning-vision-15b-think-symbolic-image * Ministral 3 14b https://huggingface.co/AbstractPhil/ministral-3-14b-think-symbolic-image * Molmo2-O-7b https://huggingface.co/AbstractPhil/molmo2-o-7b-think-symbolic-image * North-Micro-Vision 2.5b https://huggingface.co/AbstractPhil/north-micro-vision-think-symbolic-image * GLM-4.6V-Flash 10b https://huggingface.co/AbstractPhil/glm-4.6v-flash-think-symbolic-image Each are specifically finetuned or lora created with the same behavior to extract different information and different opinions from images based on the schema. This is specifically designed to extract a wide array of thought processing information from many models rather than a few or a single model. All licenses and datasets will be accounted for appropriately as extractions and models are catalogued and trained.
updated
a model
1 day ago
AbstractPhil/captionbert-8192-rotary
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AbstractPhil
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AbstractPhil/geolip-svd-reconstitution
Updated
Apr 10
AbstractPhil/svae-freckles-4096
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Apr 9
AbstractPhil/svae-freckles-256
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Apr 9
AbstractPhil/geolip-omega-diffusion-128
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Apr 9
AbstractPhil/svae-fresnel-128
Image-to-Image
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AbstractPhil/svae-johanna-128
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Apr 7
AbstractPhil/geolip-deep-embedding-analysis
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AbstractPhil/geolip-transformer-v8
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AbstractPhil/geolip-flow-predictions
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AbstractPhil/eigh-triton
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AbstractPhil/eig-triton
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AbstractPhil/geometric-transformer-v3
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AbstractPhil/geolip-geometric-transformer-v1
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Mar 28
AbstractPhil/geolip-esm2_t33_650M_UR50D
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AbstractPhil/svd-triton
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Mar 25
AbstractPhil/geolip-core
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AbstractPhil/geolip-constellation-core
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AbstractPhil/geolip-cv-experiments
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AbstractPhil/geolip-constellation-activations
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AbstractPhil/geolip-captionbert-8192
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AbstractPhil/geolip-spherical-diffusion-proto
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AbstractPhil/geolip-diffusion-proto
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AbstractPhil/geolip-cv-noise-analysis
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AbstractPhil/geolip-vit-tri-stream
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AbstractPhil/geolip-vit-dual-stream
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AbstractPhil/geolip-vit-zana
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AbstractPhil/geolip-vit-x34
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AbstractPhil/geolip-genetic-inheritance
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AbstractPhil/geolip-autograd-induction-experiments
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AbstractPhil/geolip-axis-prototype
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