mradermacher/Midnight-Miqu-70B-v1.5-GGUF

---

base_model: sophosympatheia/Midnight-Miqu-70B-v1.5 language:

• en

library_name: transformers license: other quantized_by: mradermacher tags:

• mergekit
• merge

---

About

static quants of https://huggingface.co/sophosympatheia/Midnight-Miqu-70B-v1.5

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Midnight-Miqu-70B-v1.5-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
GGUF	Q2_K	25.6
GGUF	Q3K_S	30.0
GGUF	Q3K_M	33.4	lower quality
GGUF	Q3K_L	36.2
GGUF	IQ4_XS	37.3
GGUF	Q4K_S	39.3	fast, recommended
GGUF	Q4K_M	41.5	fast, recommended
GGUF	Q5K_S	47.6
GGUF	Q5K_M	48.9
PART 1 PART 2	Q6_K	56.7	very good quality
PART 1 PART 2	Q8_0	73.4	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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.