About

static quants of https://huggingface.co/allura-org/Koto-Large-106B-Preview

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 39.0
GGUF Q3_K_S 46.1
PART 1 PART 2 Q3_K_M 51.0 lower quality
PART 1 PART 2 Q3_K_L 55.2
PART 1 PART 2 IQ4_XS 57.3
PART 1 PART 2 Q4_K_S 60.5 fast, recommended
PART 1 PART 2 Q4_K_M 64.7 fast, recommended
PART 1 PART 2 Q5_K_S 73.3
PART 1 PART 2 Q5_K_M 75.7
PART 1 PART 2 Q6_K 87.3 very good quality
PART 1 PART 2 PART 3 Q8_0 113.0 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.

Downloads last month
93
GGUF
Model size
106B params
Architecture
bailingmoe2
Hardware compatibility
Log In to view the estimation

2-bit

3-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for mradermacher/Koto-Large-106B-Preview-GGUF

Quantized
(1)
this model