mradermacher/Qwenslerp2-14B-GGUF

---

base_model: allknowingroger/Qwenslerp2-14B language:

• en

library_name: transformers license: apache-2.0 quantized_by: mradermacher tags:

• mergekit
• merge

---

About

static quants of https://huggingface.co/allknowingroger/Qwenslerp2-14B

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwenslerp2-14B-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	11.6
PART 1 PART 2	Q3KS	13.4
PART 1 PART 2	Q3KM	14.8	lower quality
PART 1 PART 2	Q3KL	15.9
PART 1 PART 2	IQ4_XS	16.5
PART 1 PART 2	Q4KS	17.2	fast, recommended
PART 1 PART 2	Q4KM	18.1	fast, recommended
PART 1 PART 2	Q5KS	20.6
PART 1 PART 2	Q5KM	21.1
PART 1 PART 2	Q6_K	24.3	very good quality
PART 1 PART 2	Q8_0	31.5	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.