Delorme_1-OCR-7B-Post1.0-GGUF
The Delorme_1-OCR-7B-Post1.0 model is a refined and optimized version of Gliese-OCR-7B-Post1.0, built upon the Qwen2.5-VL architecture. It represents the final iteration in the OCR series, offering enhanced efficiency, precision, and visualization capabilities for document OCR, visual analysis, and information extraction. Fine-tuned with extended document visualization data and OCR-focused objectives, this model delivers superior accuracy across a wide range of document types, including scanned PDFs, handwritten pages, structured forms, and analytical reports.
Delorme_1-OCR-7B-Post1.0 [GGUF]
| File Name | Quant Type | File Size | File Link |
|---|---|---|---|
| Delorme_1-OCR-7B-Post1.0.BF16.gguf | BF16 | 15.2 GB | Download |
| Delorme_1-OCR-7B-Post1.0.F16.gguf | F16 | 15.2 GB | Download |
| Delorme_1-OCR-7B-Post1.0.Q8_0.gguf | Q8_0 | 8.1 GB | Download |
| Delorme_1-OCR-7B-Post1.0.mmproj-bf16.gguf | mmproj-bf16 | 1.36 GB | Download |
| Delorme_1-OCR-7B-Post1.0.mmproj-f16.gguf | mmproj-f16 | 1.36 GB | Download |
| Delorme_1-OCR-7B-Post1.0.mmproj-q8_0.gguf | mmproj-q8_0 | 856 MB | Download |
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):
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Model tree for prithivMLmods/Delorme_1-OCR-7B-Post1.0-GGUF
Base model
Qwen/Qwen2.5-VL-7B-Instruct