AbstractPhil/alephllm-chat-storage
721 kB
AbstractPhila PRO
AbstractPhil
AI & ML interests
datasets, research papers, experimentation, vision, classification, text encoders, tokenization, llms, diffusion, distillation, and more.
Recent Activity
updated a model 1 minute ago
AbstractPhil/qwen3.5-4b-think-symbolic-image-nc published a model 2 minutes ago
AbstractPhil/qwen3.5-4b-think-symbolic-image-nc posted an update about 8 hours ago
We proudly present the preview version Qwen 3.5 4b - Lucia V1.1 apache-2.0 prototype.
https://huggingface.co/AbstractPhil/qwen3.5-4b-think-symbolic-image
The space is set up with ZeroGPU capacity for testing. You can use Look With Help to combine a blend of prompts, or simply Free Look to test your images with just the model herself.
https://huggingface.co/spaces/AbstractPhil/think-symbolic-images-testbed
The first of multiple prototypes. Trained using >10,000 rows of highly complex, high quality, curated apache-friendly data, sourced as described in the recent posts and the readme.
https://huggingface.co/datasets/AbstractPhil/thought-symbolic-image-recaptioned
Respect the licenses.
This model is not as strong as the original for museum data. In the original's case, Claude and I decided to focus on the museum information due to it being a weak-point of Qwen, sort of improve the weakness. For the new version of Lucia we couldn't use the Claude data, so the specific museum data is on the to-do list of data to curate for deep thought, not just shallow or medium thought. Really give the Lucia line some introspection capacity in the real academic sense. So the upcoming dataset improvements will improve the Lucia line substantially over time.
The current model and training process preserves most of the Qwen 3.5 4b structure via very low token drift from the original model, while presenting an extractable utilizable format of multi-introspective chain of thought, formatted into a series of image captioning structures.
The upcoming 4b train ready by tomorrow; is the non-commercial train with nearly 4x more rows. This non-commercial variant includes a large amount of deepfashion rows, docci rows, and coco rows. A humongous experimental model train, meant to be used for non-commercial and research purposes only.
We would like to have the 9b apache variant ready by Monday and the non-commercial variant by hopefully next Friday, so the specialized forms can be trained.Organizations
