Update README.md

README.md

@@ -11,4 +11,34 @@ tags:
 - text-generation-inference
 - document
 - ocr
----
+---
+
+# **docscopeOCR-7B-050425-exp-GGUF**
+
+> The **docscopeOCR-7B-050425-exp** model is a fine-tuned version of **Qwen/Qwen2.5-VL-7B-Instruct**, optimized for **Document-Level Optical Character Recognition (OCR)**, **long-context vision-language understanding**, and **accurate image-to-text conversion with mathematical LaTeX formatting**. Built on top of the Qwen2.5-VL architecture, this model significantly improves document comprehension, structured data extraction, and visual reasoning across diverse input formats.
+
+## Model File
+
+| File Name                                      | Size    | Format         | Description                            |
+|-----------------------------------------------|---------|----------------|----------------------------------------|
+| docscopeOCR-7B-050425-exp.IQ4_XS.gguf         | 4.25 GB | GGUF (IQ4_XS)   | Int4 extra-small quantized model       |
+| docscopeOCR-7B-050425-exp.Q2_K.gguf           | 3.02 GB | GGUF (Q2_K)     | 2-bit quantized model                  |
+| docscopeOCR-7B-050425-exp.Q3_K_L.gguf         | 4.09 GB | GGUF (Q3_K_L)   | 3-bit large quantized model            |
+| docscopeOCR-7B-050425-exp.Q3_K_M.gguf         | 3.81 GB | GGUF (Q3_K_M)   | 3-bit medium quantized model           |
+| docscopeOCR-7B-050425-exp.Q3_K_S.gguf         | 3.49 GB | GGUF (Q3_K_S)   | 3-bit small quantized model            |
+| docscopeOCR-7B-050425-exp.Q4_K_M.gguf         | 4.68 GB | GGUF (Q4_K_M)   | 4-bit medium quantized model           |
+| docscopeOCR-7B-050425-exp.Q5_K_M.gguf         | 5.44 GB | GGUF (Q5_K_M)   | 5-bit medium quantized model           |
+| docscopeOCR-7B-050425-exp.Q5_K_S.gguf         | 5.32 GB | GGUF (Q5_K_S)   | 5-bit small quantized model            |
+| docscopeOCR-7B-050425-exp.Q6_K.gguf           | 6.25 GB | GGUF (Q6_K)     | 6-bit quantized model                  |
+| docscopeOCR-7B-050425-exp.Q8_0.gguf           | 8.1 GB  | GGUF (Q8_0)     | 8-bit quantized model                  |
+| config.json                                   | 36 B    | JSON            | Configuration file                     |
+| .gitattributes                                | 2.25 kB | Text            | Git attributes configuration           |
+
+## Quants Usage 
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)