đ SpaceThinker-Qwen2.5VL-3B Quantized Model
This project provides static quantizations of the SpaceThinker-Qwen2.5VL-3B model, offering various GGUF quantized versions for different usage scenarios.
đ Quick Start
If you are new to this project, here's a brief guide to get you started. The project offers static quantizations of the model from https://huggingface.co/remyxai/SpaceThinker-Qwen2.5VL-3B.
⨠Features
- Multimodal Capabilities: Tags such as
multimodal, vlm, and visual-question-answering indicate its ability to handle multiple types of data, including visual and textual information.
- Spatial Reasoning: With tags like
spatial-reasoning, quantitative-spatial-reasoning, and distance-estimation, the model is capable of performing complex spatial analysis.
- Diverse Applications: Tags like
robotics, embodied-ai, and test-time-compute suggest its potential use in various fields.
đĻ Installation
No specific installation steps are provided in the original document.
đģ Usage Examples
Basic 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.
đ Documentation
Model Information
| Property |
Details |
| Base Model |
remyxai/SpaceThinker-Qwen2.5VL-3B |
| Datasets |
remyxai/SpaceThinker |
| Language |
en |
| Library Name |
transformers |
| License |
apache-2.0 |
| Quantized By |
mradermacher |
| Tags |
remyx, qwen2.5-vl, spatial-reasoning, multimodal, vlm, vqasynth, thinking, reasoning, test-time-compute, robotics, embodied-ai, quantitative-spatial-reasoning, distance-estimation, visual-question-answering |
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 |
Q2_K |
1.4 |
|
| GGUF |
Q3_K_S |
1.6 |
|
| GGUF |
Q3_K_M |
1.7 |
lower quality |
| GGUF |
Q3_K_L |
1.8 |
|
| GGUF |
IQ4_XS |
1.9 |
|
| GGUF |
Q4_K_S |
1.9 |
fast, recommended |
| GGUF |
Q4_K_M |
2.0 |
fast, recommended |
| GGUF |
Q5_K_S |
2.3 |
|
| GGUF |
Q5_K_M |
2.3 |
|
| GGUF |
Q6_K |
2.6 |
very good quality |
| GGUF |
Q8_0 |
3.4 |
fast, best quality |
| GGUF |
f16 |
6.3 |
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.
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.
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Transformers
Safetensors