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mradermacher/DoubleGold-v0.5-123b-32k-GGUF

sourceHugging Facellama2updated 2y agoView on Hugging Face
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About

static quants of https://huggingface.co/ChuckMcSneed/DoubleGold-v0.5-123b-32k

<!-- provided-files --> weighted/imatrix quants are available at https://huggingface.co/mradermacher/DoubleGold-v0.5-123b-32k-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)

LinkTypeSize/GBNotes
GGUFQ2_K45.8
PART 1 PART 2IQ3_XS51.0
PART 1 PART 2Q3KS53.7
PART 1 PART 2IQ3_S53.9beats Q3_K*
PART 1 PART 2IQ3_M55.7
PART 1 PART 2Q3KM59.9lower quality
PART 1 PART 2Q3KL65.2
PART 1 PART 2IQ4_XS67.1
PART 1 PART 2Q4_070.1fast, low quality
PART 1 PART 2Q4KS70.6fast, recommended
PART 1 PART 2IQ4_NL70.8prefer IQ4_XS
PART 1 PART 2Q4KM74.6fast, recommended
PART 1 PART 2Q5KS85.5
PART 1 PART 2Q5KM87.8
PART 1 PART 2 PART 3Q6_K101.9very good quality
PART 1 PART 2 PART 3Q8_0131.8fast, 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.

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