base_model, datasets, language, library_name, license, no_imatrix, quantized_by, tags

base_model	datasets	language	library_name	license	no_imatrix	quantized_by	tags
mpasila/Viking-Magnum-v0.1-7B	mpasila/Magnum-V2-Mix anthracite-org/Stheno-Data-Filtered anthracite-org/kalo-opus-instruct-22k-no-refusal anthracite-org/nopm_claude_writing_fixed	en fi sv no da is nn	transformers	apache-2.0	nan1	mradermacher	text-generation-inference transformers unsloth llama trl sft

About

static quants of https://huggingface.co/mpasila/Viking-Magnum-v0.1-7B

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	Q2_K	3.1
GGUF	IQ3_XS	3.4
GGUF	IQ3_S	3.6	beats Q3_K*
GGUF	Q3_K_S	3.6
GGUF	IQ3_M	3.7
GGUF	Q3_K_M	3.9	lower quality
GGUF	Q3_K_L	4.2
GGUF	IQ4_XS	4.3
GGUF	Q4_K_S	4.5	fast, recommended
GGUF	Q4_K_M	4.7	fast, recommended
GGUF	Q5_K_S	5.4
GGUF	Q5_K_M	5.5
GGUF	Q6_K	6.3	very good quality
GGUF	Q8_0	8.1	fast, best quality
GGUF	f16	15.2	16 bpw, overkill

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.