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mradermacher/Janus-Pro-7B-GGUF
Janus-Pro-7B-GGUF is a text-to-image model from mradermacher. Use it when you need an image from a text prompt. It is set up for transformers. The card lists the license as mit.
static quants of https://huggingface.co/deepseek-community/Janus-Pro-7B
Downloads · 30 days
1.3K
6% of all-time downloads
All-time downloads
19.9K
Public
Repo size
62.7 GB
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8
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.gguf62.7 GB · 100%
From the Hugging Face model README
static quants of https://huggingface.co/deepseek-community/Janus-Pro-7B
<!-- 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/Janus-Pro-7B-i1-GGUF
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.
(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 | 0.4 | multi-modal supplement |
| GGUF | mmproj-f16 | 0.8 | multi-modal supplement |
| GGUF | Q2_K | 2.8 | |
| GGUF | Q3_K_S | 3.2 | |
| GGUF | Q3_K_M | 3.6 | lower quality |
| GGUF | Q3_K_L | 3.8 | |
| GGUF | IQ4_XS | 3.9 | |
| GGUF | Q4_K_S | 4.1 | fast, recommended |
| GGUF | Q4_K_M | 4.3 | fast, recommended |
| GGUF | Q5_K_S | 4.9 | |
| GGUF | Q5_K_M | 5.0 | |
| GGUF | Q6_K | 5.8 | very good quality |
| GGUF | Q8_0 | 7.4 | fast, best quality |
| GGUF | f16 | 13.9 | 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
See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.
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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