mradermacher/SimpleChat-72B-V1-i1-GGUF

---

base_model: OpenBuddy/SimpleChat-72B-V1 language:

• zh
• en
• fr
• de
• ja
• ko
• it
• fi

library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher tags:

• qwen2.5

---

About

weighted/imatrix quants of https://huggingface.co/OpenBuddy/SimpleChat-72B-V1

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

static quants are available at https://huggingface.co/mradermacher/SimpleChat-72B-V1-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	0.1	imatrix file (for creating your own qwuants)
GGUF	i1-IQ1_S	22.8	for the desperate
GGUF	i1-IQ1_M	23.8	mostly desperate
GGUF	i1-IQ2_XXS	25.6
GGUF	i1-IQ2_XS	27.2
GGUF	i1-IQ2_S	28.0
GGUF	i1-IQ2_M	29.4
GGUF	i1-Q2K_S	29.7	very low quality
GGUF	i1-Q2K	29.9	IQ3XXS probably better
GGUF	i1-IQ3_XXS	31.9	lower quality
GGUF	i1-IQ3_XS	32.9
GGUF	i1-IQ3S	34.6	beats Q3K*
GGUF	i1-Q3KS	34.6	IQ3XS probably better
GGUF	i1-IQ3_M	35.6
GGUF	i1-Q3KM	37.8	IQ3S probably better
GGUF	i1-Q3KL	39.6	IQ3M probably better
GGUF	i1-IQ4_XS	39.8
GGUF	i1-Q4_0	41.5	fast, low quality
GGUF	i1-Q4K_S	44.0	optimal size/speed/quality
GGUF	i1-Q4_1	45.8
GGUF	i1-Q4K_M	47.5	fast, recommended
PART 1 PART 2	i1-Q5KS	51.5
PART 1 PART 2	i1-Q5KM	54.5
PART 1 PART 2	i1-Q6K	64.4	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.