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This model was converted to MLX format from google/gemma-4-e4b-it using mlx-vlm version 0.4.3. Refer to the original model card for more details on the model.
This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
This model is a fine-tuned version of google/gemma-4-E4B-it, optimized for Godot Engine and GDScript-related coding tasks.
Hugging Face | GitHub | Launch Blog | Documentation
Reviews, Hearts, Likes etc. are very appreciated!
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set: Loss: 0.0230 Accuracy: 0.9949
Please do not use any positive quality tags when using my LoRA. The essence of quality tags is art style. This is why your results are so different from mine, especially on illu base model !
Hugging Face | GitHub | Launch Blog | Documentation
A SigLIP 2 ViT (image encoder only) for timm. Equivalent to image tower from This gap variant uses global average pooling and has the attention pooling head removed.
