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mradermacher/Samantha-1.1-70b-i1-GGUF

sourceHugging Facellama2updated 1y agoView on Hugging Face
1likes989downloads
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About

weighted/imatrix quants of https://huggingface.co/QuixiAI/Samantha-1.1-70b

The weights were calculated using 164k semi-random english tokens.

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Samantha-1.1-70b-i1-GGUF).*

static quants are available at https://huggingface.co/mradermacher/Samantha-1.1-70b-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)

LinkTypeSize/GBNotes
GGUFi1-IQ1_S15.0for the desperate
GGUFi1-IQ1_M16.4mostly desperate
GGUFi1-IQ2_XXS18.7
GGUFi1-IQ2_XS20.8
GGUFi1-IQ2_S21.8
GGUFi1-Q2KS23.7very low quality
GGUFi1-IQ2_M23.7
GGUFi1-Q2_K25.9IQ3_XXS probably better
GGUFi1-IQ3_XXS27.4lower quality
GGUFi1-IQ3_XS28.6
GGUFi1-Q3KXS28.7
GGUFi1-IQ3_S30.3beats Q3_K*
GGUFi1-Q3KS30.3IQ3_XS probably better
GGUFi1-IQ3_M31.4
GGUFi1-Q3KM33.7IQ3_S probably better
GGUFi1-Q3KL36.6IQ3_M probably better
GGUFi1-IQ4_XS37.2
GGUFi1-IQ4_NL39.4prefer IQ4_XS
GGUFi1-Q4_039.4fast, low quality
GGUFi1-Q4KS39.7optimal size/speed/quality
GGUFi1-Q4KM41.8fast, recommended
GGUFi1-Q4_143.3
GGUFi1-Q5KS47.9
GGUFi1-Q5KM49.2
PART 1 PART 2i1-Q6_K57.0practically like static Q6_K

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.

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