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Yolo11s Forklift Person Detection
Görev: Endüstriyel ortamlarda forklift ve insan tespiti yapmak, ardından tespitlerin üzerine kurulan mekânsal içerme (containment) kuralıyla her aracın dolu (içinde/üzerinde operatör var) olup olmadığına karar vermek.
Laviecest Style
Works best at 0.95 weight.
Builder (Female) | Dragon Quest Builders 1
Works best at 0.75 weight.
MELP Encoder
MELP (Multi-scale ECG-Language Pretraining) is a novel model presented in the paper "From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining". It aims to overcome limitations in traditional ECG...
MNGO Style (Anima & Illustrious)
Works best at 0.75 weight.
Elenagr Style
Works best at 0.75 weight.
Merger_kate_soursash
Another merger from my TI's
Gemma 4 E2B It Ultra Uncensored Heretic MLX 6bit Int6 Affine
This model was converted to MLX from llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic using mlx-vlm version 0.6.3. Please refer to the original model card for more details.
Yaotaihhh Style (Anima & Illustrious)
Works best at 0.95 weight.
Baseer OCR V1.0
Baseer OCR V1.0 is a fine-tuned version of Qwen/Qwen2-VL-2B-Instruct specifically designed for Optical Character Recognition (OCR) on complex Arabic legal documents.
ookamitai (狼太) LoCon
Please, credit me if you use it!
Isometric TI Sets Pt 2 - 3500
Easy create ISOMETRIC CONTENT That doesn't require a 3gb model!
Gemma 4 31B It F32 GGUF
> Gemma-4-31B-it from Google is the flagship dense model in the Gemma 4 family, featuring 31 billion parameters optimized for workstation/server deployment with a massive 256K context window, support for text, images...
Muds Style
Works best at 0.75 weight.
SAGE MM Qwen3 VL 8B SFT RL GGUF
> The SAGE-MM-Qwen3-VL-8B-SFTRL from allenai is an 8B-parameter reinforcement learning (RL) post-trained vision-language model, refined via RL from the SAGE-MM-Qwen3-VL-8B-SFT (fine-tuned from...
Fashion Images Gender Age
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the touchtech/fashion-images-gender-age dataset. It achieves the following results on the evaluation set: Loss: 0.0244 Accuracy: 0.9942
SDXL Comic Enhancing Embeddings
These are NOT for PonyXL. (Or rather use at your own risk)
Parking Lot Yolo26m
This repository contains a YOLO detection model for parking-space occupancy detection. It predicts two classes:
Ft Wspr Md Jt 256 512 Fold4
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
Tokenizer Titok Sl256 Vq8k Imagenet
This model has been pushed to the Hub using the PytorchModelHubMixin integration: Library: Docs: [More Information Needed]
