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# AWQ Efficient Quantization
Featured Recommended AI Models
Qwen2.5 VL 7B Abliterated Caption It I1 GGUF
Apache-2.0
Quantized version of Qwen2.5-VL-7B-Abliterated-Caption-it, supporting multilingual image description tasks.
Image-to-Text
Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesQ
mradermacher
167
1
Nunchaku Flux.1 Dev Colossus
Other
The Nunchaku quantized version of the Colossus Project Flux, designed to generate high-quality images based on text prompts. This model minimizes performance loss while optimizing inference efficiency.
Image Generation English
N
nunchaku-tech
235
3
Qwen2.5 VL 7B Abliterated Caption It GGUF
Apache-2.0
This is a static quantized version based on the Qwen2.5-VL-7B model, focusing on image captioning generation tasks and supporting multiple languages.
Image-to-Text Transformers Supports Multiple Languages
Transformers Supports Multiple LanguagesQ
mradermacher
133
1
Olmocr 7B 0725 FP8
Apache-2.0
olmOCR-7B-0725-FP8 is a document OCR model based on the Qwen2.5-VL-7B-Instruct model. It is fine-tuned using the olmOCR-mix-0225 dataset and then quantized to the FP8 version.
Image-to-Text Transformers English
Transformers EnglishO
allenai
881
3
Lucy 128k GGUF
Apache-2.0
Lucy-128k is a model developed based on Qwen3-1.7B, focusing on proxy-based web search and lightweight browsing, and can run efficiently on mobile devices.
Large Language Model Transformers English
Transformers EnglishL
Mungert
263
2