MixTaoTruthful-13B-slerp-GGUF – AI Model by mradermacher | AlphaNeural AI

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mradermacher/
MixTaoTruthful-13B-slerp-GGUF

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allknowingroger/MixTaoTruthful-13B-slerp

endpoints_compatible

yunconglong/Truthful_DPO_TomGrc_FusionNet_7Bx2_MoE_13B

zhengr/MixTAO-7Bx2-MoE-v8.1

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About

static quants of https://huggingface.co/allknowingroger/MixTaoTruthful-13B-slerp

weighted/imatrix quants are available at https://huggingface.co/mradermacher/MixTaoTruthful-13B-slerp-i1-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	Q2_K	4.9
GGUF	IQ3_XS	5.4
GGUF	Q3_K_S	5.7
GGUF	IQ3_S	5.7	beats Q3_K*
GGUF	IQ3_M	5.8
GGUF	Q3_K_M	6.3	lower quality
GGUF	Q3_K_L	6.8
GGUF	IQ4_XS	7.1
GGUF	Q4_K_S	7.4	fast, recommended
GGUF	Q4_K_M	7.9	fast, recommended
GGUF	Q5_K_S	9.0
GGUF	Q5_K_M	9.2
GGUF	Q6_K	10.7	very good quality
GGUF	Q8_0	13.8	fast, best quality

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.