đ TreeVGR-7B-CI Quantized Model
This is a quantized version of the TreeVGR-7B-CI vision model, supporting tasks like visual question answering, visual grounding, and visual reasoning.
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
- Multi - task Vision Support: Capable of handling visual question answering, visual grounding, and visual reasoning tasks.
- Multiple Quantization Options: Offers a variety of quantized models with different sizes and qualities.
đĻ Model Information
Property |
Details |
Base Model |
HaochenWang/TreeVGR - 7B - CI |
Datasets |
HaochenWang/TreeBench, HaochenWang/TreeVGR - RL - 37K, HaochenWang/TreeVGR - SFT - 35K |
Language |
en |
Library Name |
transformers |
License |
apache - 2.0 |
Quantized By |
mradermacher |
Tags |
visual - question - answering, visual - grounding, visual - reasoning, qwen |
đ Documentation
About
Weighted/imatrix quants of https://huggingface.co/HaochenWang/TreeVGR-7B-CI.
For a convenient overview and download list, visit our model page for this model.
Static quants are available at https://huggingface.co/mradermacher/TreeVGR-7B-CI-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 License
This project is licensed under the apache - 2.0 license.
đ 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.