đ EraX-VL-7B-V1.5 Static Quants
This project provides static quants of the EraX-VL-7B-V1.5 model, supporting multiple languages and offering various quantized versions for different usage scenarios.
đ Quick Start
The project offers static quantizations of the model from https://huggingface.co/erax-ai/EraX-VL-7B-V1.5. If you're new to using GGUF files, refer to TheBloke's READMEs for detailed guidance, including how to concatenate multi - part files.
⨠Features
- Multilingual Support: Supports languages such as Vietnamese (
vi), English (en), and Chinese (zh).
- Multiple Quantized Versions: Provides a variety of quantized versions with different sizes and qualities.
- Multimodal Capabilities: Tags include multimodal, suitable for tasks like image - to - text.
đĻ Installation
No specific installation steps are provided in the original document.
đ Documentation
About
Static quants of https://huggingface.co/erax-ai/EraX-VL-7B-V1.5. Weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Usage
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.
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 |
mmproj - fp16 |
1.5 |
vision supplement |
| GGUF |
Q2_K |
3.1 |
|
| GGUF |
Q3_K_S |
3.6 |
|
| GGUF |
Q3_K_M |
3.9 |
lower quality |
| GGUF |
Q3_K_L |
4.2 |
|
| GGUF |
IQ4_XS |
4.4 |
|
| GGUF |
Q4_K_S |
4.6 |
fast, recommended |
| GGUF |
Q4_K_M |
4.8 |
fast, recommended |
| GGUF |
Q5_K_S |
5.4 |
|
| GGUF |
Q5_K_M |
5.5 |
|
| GGUF |
Q6_K |
6.4 |
very good quality |
| GGUF |
Q8_0 |
8.2 |
fast, best quality |
| GGUF |
f16 |
15.3 |
16 bpw, overkill |
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.
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.
đ License
This project is licensed under the apache - 2.0 license.
| Property |
Details |
| Base Model |
erax-ai/EraX-VL-7B-V1.5 |
| Languages |
Vietnamese (vi), English (en), Chinese (zh) |
| Library Name |
transformers |
| License |
apache - 2.0 |
| Quantized By |
mradermacher |
| Tags |
erax, multimodal, erax-vl-7B, insurance, ocr, vietnamese, bcg, image - to - text |
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Transformers