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README.md

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-license: mit
+base_model:
+- Qwen/Qwen2.5-VL-7B-Instruct
+pipeline_tag: text-classification
+---
+
+
+Trilogix1/Hugston-microsoft-Fara-7B pipeline_tag: text-generation tags:
+# Microsoft
+# 7B
+# Hugston
+# Hugston-microsoft-Fara-7B
+
+---
+
+# Original weights at: https://huggingface.co/microsoft/Fara-7B
+
+This model is converted and quantized version by Hugston Team created with Quanta (see Github to know more about it). 
+This is a real, proof-of-concept and implementation on how to convert and quantize a .safetensor llm model in GGUF.
+
+
+![Screenshot 2025-11-21 114116](https://cdn-uploads.huggingface.co/production/uploads/6818be9259cb758d06603579/ItMDaQUHwGElmuyXQyjPH.png)
+
+
+
+Quantization was performed using an automatic and faster method, which leads to less time and faster results. 
+
+This model was made possible by: https://Hugston.com
+
+You can use the model with HugstonOne Enterprise Edition
+
+
+
+
+Tested in general tasks. 
+
+
+![Screenshot 2025-11-24 215005](https://cdn-uploads.huggingface.co/production/uploads/6818be9259cb758d06603579/o9eFNiGPMIPRvTmNIoNoH.png)
+
+---
+
+Watch HugstonOne coding and preview in action: 
+---
+https://vimeo.com/1121493834?share=copy&fl=sv&fe=ci
+Usage
+---
+-Download App HugstonOne at Hugston.com or at https://github.com/Mainframework
+---
+-Download model from https://hugston.com/explore?folder=llm_models or Huggingface
+---
+-If you already have the Llm Model downloaded chose it by clicking pick model in HugstonOne -Then click Load model in Cli or Server
+
+---
+
+-For multimodal use you need a VL/multimodal LLM model with the Mmproj file in the same folder. -Select model and select mmproj.
+
+---
+
+-Note: if the mmproj is inside the same folder with other models non multimodal, the non model will not load unless the mmproj is moved from folder.
+
 ---
 
 # Fara-7B: An Efficient Agentic Model for Computer Use