Edit model card

About

static quants of https://huggingface.co/softwareweaver/Twilight-Miqu-146B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Twilight-Miqu-146B-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
PART 1 PART 2 Q2_K 53.7
PART 1 PART 2 IQ3_XS 59.7
PART 1 PART 2 Q3_K_S 62.9
PART 1 PART 2 IQ3_S 63.1 beats Q3_K*
PART 1 PART 2 IQ3_M 65.3
PART 1 PART 2 Q3_K_M 70.2 lower quality
PART 1 PART 2 Q3_K_L 76.5
PART 1 PART 2 IQ4_XS 78.7
PART 1 PART 2 Q4_K_S 82.9 fast, recommended
PART 1 PART 2 Q4_K_M 87.6 fast, recommended
PART 1 PART 2 PART 3 Q5_K_S 100.5
PART 1 PART 2 PART 3 Q5_K_M 103.3
PART 1 PART 2 PART 3 Q6_K 119.9 very good quality
PART 1 PART 2 PART 3 PART 4 Q8_0 155.2 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

-

Downloads are not tracked for this model. How to track
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for mradermacher/Twilight-Miqu-146B-GGUF

Finetuned
(1)
this model