mradermacher/magnum-v4-22b-i1-GGUF

---

base_model: anthracite-org/magnum-v4-22b datasets:

• anthracite-org/c2logs32kmistral-v3v1.2nosystem
• anthracite-org/kalo-opus-instruct-22k-no-refusal-no-system
• anthracite-org/kalo-opus-instruct-3k-filtered-no-system
• anthracite-org/nopmclaudewritingfixed
• anthracite-org/kaloopusmisc240827nosystem
• anthracite-org/kalomiscpart2nosystem

language:

• en

library_name: transformers license: other license_name: mrl quantized_by: mradermacher tags:

• chat

---

About

weighted/imatrix quants of https://huggingface.co/anthracite-org/magnum-v4-22b

static quants are available at https://huggingface.co/mradermacher/magnum-v4-22b-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	i1-IQ1_S	4.9	for the desperate
GGUF	i1-IQ1_M	5.4	mostly desperate
GGUF	i1-IQ2_XXS	6.1
GGUF	i1-IQ2_XS	6.7
GGUF	i1-IQ2_S	7.1
GGUF	i1-IQ2_M	7.7
GGUF	i1-Q2K	8.4	IQ3XXS probably better
GGUF	i1-IQ3_XXS	8.7	lower quality
GGUF	i1-IQ3_XS	9.3
GGUF	i1-Q3KS	9.7	IQ3XS probably better
GGUF	i1-IQ3S	9.8	beats Q3K*
GGUF	i1-IQ3_M	10.2
GGUF	i1-Q3KM	10.9	IQ3S probably better
GGUF	i1-Q3KL	11.8	IQ3M probably better
GGUF	i1-IQ4_XS	12.0
GGUF	i1-Q4_0	12.7	fast, low quality
GGUF	i1-Q4K_S	12.8	optimal size/speed/quality
GGUF	i1-Q4K_M	13.4	fast, recommended
GGUF	i1-Q5K_S	15.4
GGUF	i1-Q5K_M	15.8
GGUF	i1-Q6K	18.4	practically like static Q6K

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.