Downloads · 30 days
116
7% of all-time downloads
ThinkLite-VL-72B-GGUF
mradermacher/ThinkLite-VL-72B-GGUF
ThinkLite-VL-72B-GGUF is a machine learning model from mradermacher. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
static quants of https://huggingface.co/russwang/ThinkLite-VL-72B
All-time downloads
1.7K
Public
Repo size
523 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.gguf275 GB · 53%
At a glance
- Library
- transformers
- Access
- Public
- Created
- May 18, 2025
- Updated
- Jul 31, 2025
- SHA
- f2d6542c
Base models
Model card
From the Hugging Face model README
About
<!-- ### quantize_version: 2 --> <!-- ### output_tensor_quantised: 1 --> <!-- ### convert_type: hf --> <!-- ### vocab_type: --> <!-- ### tags: -->static quants of https://huggingface.co/russwang/ThinkLite-VL-72B
<!-- provided-files -->For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/ThinkLite-VL-72B-i1-GGUF
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-Q8_0 | 0.9 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.5 | multi-modal supplement |
| GGUF | Q2_K | 29.9 | |
| GGUF | Q3_K_S | 34.6 | |
| GGUF | Q3_K_M | 37.8 | lower quality |
| GGUF | Q3_K_L | 39.6 | |
| GGUF | IQ4_XS | 40.3 | |
| GGUF | Q4_K_S | 44.0 | fast, recommended |
| GGUF | Q4_K_M | 47.5 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 51.5 | |
| PART 1 PART 2 | Q5_K_M | 54.5 | |
| PART 1 PART 2 | Q6_K | 64.4 | very good quality |
| PART 1 PART 2 | Q8_0 | 77.4 | fast, best quality |
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.
<!-- end -->- Library
- transformers
- Languages
- en
- Created
- May 18, 2025
- Updated
- Jul 31, 2025