đ Perseus-Doc-vl-0712 Model
This is a vision model that supports multiple languages including English and Chinese. It can be used for various tasks such as text generation, image captioning, and optical character recognition.
đ Quick Start
If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.
⨠Features
- Multilingual Support: Supports both English and Chinese.
- Multiple Tasks: Can be used for text generation, image captioning, optical character recognition, etc.
đĻ Installation
No specific installation steps are provided in the original document.
đģ Usage Examples
No code examples are provided in the original document.
đ Documentation
Model Information
Property |
Details |
Base Model |
prithivMLmods/Perseus-Doc-vl-0712 |
Datasets |
prithivMLmods/OpenDoc-Pdf-Preview, prithivMLmods/Corvus-OCR-Caption-Mix, prithivMLmods/Openpdf-Analysis-Recognition, prithivMLmods/Opendoc2-Analysis-Recognition |
Language |
en, zh |
Library Name |
transformers |
License |
apache-2.0 |
Tags |
text-generation-inference, image-captioning, optical-character-recognition, intelligent-character-recognition, caption, ocr, visual-understanding, art, icr, image-to-text, vlm, Doc-v |
About
weighted/imatrix quants of https://huggingface.co/prithivMLmods/Perseus-Doc-vl-0712
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Perseus-Doc-vl-0712-GGUF
This is a vision model - mmproj files (if any) will be in the static repository.
Provided Quants
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Link |
Type |
Size/GB |
Notes |
GGUF |
i1-IQ1_S |
2.0 |
for the desperate |
GGUF |
i1-IQ1_M |
2.1 |
mostly desperate |
GGUF |
i1-IQ2_XXS |
2.4 |
|
GGUF |
i1-IQ2_XS |
2.6 |
|
GGUF |
i1-IQ2_S |
2.7 |
|
GGUF |
i1-IQ2_M |
2.9 |
|
GGUF |
i1-Q2_K_S |
2.9 |
very low quality |
GGUF |
i1-Q2_K |
3.1 |
IQ3_XXS probably better |
GGUF |
i1-IQ3_XXS |
3.2 |
lower quality |
GGUF |
i1-IQ3_XS |
3.4 |
|
GGUF |
i1-Q3_K_S |
3.6 |
IQ3_XS probably better |
GGUF |
i1-IQ3_S |
3.6 |
beats Q3_K* |
GGUF |
i1-IQ3_M |
3.7 |
|
GGUF |
i1-Q3_K_M |
3.9 |
IQ3_S probably better |
GGUF |
i1-Q3_K_L |
4.2 |
IQ3_M probably better |
GGUF |
i1-IQ4_XS |
4.3 |
|
GGUF |
i1-IQ4_NL |
4.5 |
prefer IQ4_XS |
GGUF |
i1-Q4_0 |
4.5 |
fast, low quality |
GGUF |
i1-Q4_K_S |
4.6 |
optimal size/speed/quality |
GGUF |
i1-Q4_K_M |
4.8 |
fast, recommended |
GGUF |
i1-Q4_1 |
5.0 |
|
GGUF |
i1-Q5_K_S |
5.4 |
|
GGUF |
i1-Q5_K_M |
5.5 |
|
GGUF |
i1-Q6_K |
6.4 |
practically like static Q6_K |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter:
https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
FAQ / Model Request
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
đ§ Technical Details
No technical details are provided in the original document.
đ License
This model is licensed under the apache-2.0 license.
Thanks
I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.