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mradermacher/MegaDolphin-120b-i1-GGUF

sourceHugging Facellama2updated 1y agoView on Hugging Face
2likes2.8kdownloads
Model Card

About

weighted/imatrix quants of https://huggingface.co/QuixiAI/MegaDolphin-120b

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#MegaDolphin-120b-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
GGUFi1-IQ1_S25.7for the desperate
GGUFi1-IQ1_M27.8mostly desperate
GGUFi1-IQ2_XXS32.2
GGUFi1-IQ2_XS35.8
GGUFi1-IQ2_S37.2
GGUFi1-IQ2_M40.5
GGUFi1-Q2_K44.6IQ3_XXS probably better
GGUFi1-IQ3_XXS47.3lower quality
GGUFi1-IQ3_XS49.3
PART 1 PART 2i1-Q3KXS49.3
PART 1 PART 2i1-IQ3_S52.1beats Q3_K*
PART 1 PART 2i1-Q3KS52.2IQ3_XS probably better
PART 1 PART 2i1-IQ3_M53.8
PART 1 PART 2i1-Q3KM58.2IQ3_S probably better
PART 1 PART 2i1-Q3KL63.4IQ3_M probably better
PART 1 PART 2i1-IQ4_XS64.3
PART 1 PART 2i1-Q4_068.1fast, low quality
PART 1 PART 2i1-Q4KS68.7optimal size/speed/quality
PART 1 PART 2i1-Q4KM72.6fast, recommended
PART 1 PART 2i1-Q5KS82.9
PART 1 PART 2i1-Q5KM85.1
PART 1 PART 2i1-Q6_K98.8practically 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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