mradermacher / CPPO-7B-i1-GGUF

huggingface.co
Total runs: 170
24-hour runs: -144
7-day runs: -307
30-day runs: -464
Model's Last Updated: February 17 2026

Introduction of CPPO-7B-i1-GGUF

Model Details of CPPO-7B-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/vbdai/CPPO-7B

For a convenient overview and download list, visit our model page for this model .

static quants are available at https://huggingface.co/mradermacher/CPPO-7B-GGUF

This is a vision model - mmproj files (if any) will be in the static repository .

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 imatrix 0.1 imatrix file (for creating your own quants)
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):

image.png

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.

Runs of mradermacher CPPO-7B-i1-GGUF on huggingface.co

170
Total runs
-144
24-hour runs
-284
3-day runs
-307
7-day runs
-464
30-day runs

More Information About CPPO-7B-i1-GGUF huggingface.co Model

More CPPO-7B-i1-GGUF license Visit here:

https://choosealicense.com/licenses/cc-by-4.0

CPPO-7B-i1-GGUF huggingface.co

CPPO-7B-i1-GGUF huggingface.co is an AI model on huggingface.co that provides CPPO-7B-i1-GGUF's model effect (), which can be used instantly with this mradermacher CPPO-7B-i1-GGUF model. huggingface.co supports a free trial of the CPPO-7B-i1-GGUF model, and also provides paid use of the CPPO-7B-i1-GGUF. Support call CPPO-7B-i1-GGUF model through api, including Node.js, Python, http.

mradermacher CPPO-7B-i1-GGUF online free

CPPO-7B-i1-GGUF huggingface.co is an online trial and call api platform, which integrates CPPO-7B-i1-GGUF's modeling effects, including api services, and provides a free online trial of CPPO-7B-i1-GGUF, you can try CPPO-7B-i1-GGUF online for free by clicking the link below.

mradermacher CPPO-7B-i1-GGUF online free url in huggingface.co:

https://huggingface.co/mradermacher/CPPO-7B-i1-GGUF

CPPO-7B-i1-GGUF install

CPPO-7B-i1-GGUF is an open source model from GitHub that offers a free installation service, and any user can find CPPO-7B-i1-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of CPPO-7B-i1-GGUF install, users can directly use CPPO-7B-i1-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

CPPO-7B-i1-GGUF install url in huggingface.co:

https://huggingface.co/mradermacher/CPPO-7B-i1-GGUF

Url of CPPO-7B-i1-GGUF

Provider of CPPO-7B-i1-GGUF huggingface.co

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