base_model, language, library_name, license, license_link, license_name, mradermacher, quantized_by, tags

base_model	language	library_name	license	license_link	license_name	mradermacher	quantized_by	tags
Loom-Labs/Apollo-1-8B	en fr pt de ro sv da bg ru cs el uk es nl sk hr pl lt nb nn fa sl gu lv it oc ne mr be sr lb vec as cy szl ast hne awa mai bho sd ga fo hi pa bn or tg yi lmo lij scn fur sc gl ca is sq li prs af mk si ur mag bs hy zh yue my ar he mt id ms tl ceb jv su min ban pag ilo war ta te kn ml tr az uz kk ba tt th lo fi et hu vi km ja ko ka eu ht pap kea tpi sw	transformers	other	https://huggingface.co/apexion-ai/Nous-V1-8B/blob/main/LICENSE.md	anvdl-1.0	readme_rev 1	mradermacher	text-generation-inference transformers unsloth qwen3

About

weighted/imatrix quants of https://huggingface.co/Loom-Labs/Apollo-1-8B

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

static quants are available at https://huggingface.co/mradermacher/Apollo-1-8B-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 quants)
GGUF	i1-IQ1_S	2.2	for the desperate
GGUF	i1-IQ1_M	2.4	mostly desperate
GGUF	i1-IQ2_XXS	2.6
GGUF	i1-IQ2_XS	2.8
GGUF	i1-IQ2_S	3.0
GGUF	i1-IQ2_M	3.2
GGUF	i1-Q2_K_S	3.2	very low quality
GGUF	i1-Q2_K	3.4	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	3.5	lower quality
GGUF	i1-IQ3_XS	3.7
GGUF	i1-Q3_K_S	3.9	IQ3_XS probably better
GGUF	i1-IQ3_S	3.9	beats Q3_K*
GGUF	i1-IQ3_M	4.0
GGUF	i1-Q3_K_M	4.2	IQ3_S probably better
GGUF	i1-Q3_K_L	4.5	IQ3_M probably better
GGUF	i1-IQ4_XS	4.7
GGUF	i1-Q4_0	4.9	fast, low quality
GGUF	i1-IQ4_NL	4.9	prefer IQ4_XS
GGUF	i1-Q4_K_S	4.9	optimal size/speed/quality
GGUF	i1-Q4_K_M	5.1	fast, recommended
GGUF	i1-Q4_1	5.3
GGUF	i1-Q5_K_S	5.8
GGUF	i1-Q5_K_M	6.0
GGUF	i1-Q6_K	6.8	practically like static Q6_K

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

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.