mradermacher / Trinity-Large-TrueBase-i1-GGUF

huggingface.co
Total runs: 22.3K
24-hour runs: 0
7-day runs: 15.0K
30-day runs: 19.3K
Model's Last Updated: February 16 2026

Introduction of Trinity-Large-TrueBase-i1-GGUF

Model Details of Trinity-Large-TrueBase-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/arcee-ai/Trinity-Large-TrueBase

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

static quants are available at https://huggingface.co/mradermacher/Trinity-Large-TrueBase-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 imatrix 0.6 imatrix file (for creating your own quants)
GGUF i1-IQ2_M 128.7
GGUF i1-Q2_K 144.9 IQ3_XXS probably better
GGUF i1-IQ3_XXS 153.1 lower quality
GGUF i1-IQ3_M 172.3
GGUF i1-Q3_K_M 189.4 IQ3_S probably better
P1 P2 P3 P4 P5 i1-Q4_K_S 225.0 optimal size/speed/quality
P1 P2 P3 P4 P5 i1-Q4_K_M 239.7 fast, recommended
P1 P2 P3 P4 P5 P6 P7 i1-Q6_K 327.3 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 Trinity-Large-TrueBase-i1-GGUF on huggingface.co

22.3K
Total runs
0
24-hour runs
4
3-day runs
15.0K
7-day runs
19.3K
30-day runs

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Trinity-Large-TrueBase-i1-GGUF install

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

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