mradermacher/Qwen3-VL-8B-Instruct-Heretic-GGUF

---

base_model: jKqfO84n/Qwen3-VL-8B-Instruct-Heretic language:

• en

library_name: transformers mradermacher: readme_rev: 1 quantized_by: mradermacher

---

About

static quants of https://huggingface.co/jKqfO84n/Qwen3-VL-8B-Instruct-Heretic

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-VL-8B-Instruct-Heretic-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	mmproj-Q8_0	0.9	multi-modal supplement
GGUF	mmproj-f16	1.3	multi-modal supplement
PART 1 PART 2	Q2_K	6.7
PART 1 PART 2	Q3KS	7.6
PART 1 PART 2	Q3KM	8.3	lower quality
PART 1 PART 2	Q3KL	9.0
PART 1 PART 2	IQ4_XS	9.3
PART 1 PART 2	Q4KS	9.7	fast, recommended
PART 1 PART 2	Q4KM	10.2	fast, recommended
PART 1 PART 2	Q5KS	11.5
PART 1 PART 2	Q5KM	11.8
PART 1 PART 2	Q6_K	13.6	very good quality
PART 1 PART 2	Q8_0	17.5	fast, best quality
PART 1 PART 2	f16	32.9	16 bpw, overkill

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.