5.7 KiB
base_model, language, library_name, mradermacher, quantized_by
| base_model | language | library_name | mradermacher | quantized_by | |||
|---|---|---|---|---|---|---|---|
| wfen/Qwen3-VL-8B-Instruct-Heretic |
|
transformers |
|
mradermacher |
About
static quants of https://huggingface.co/wfen/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 | Q3_K_S | 7.6 | |
| PART 1 PART 2 | Q3_K_M | 8.3 | lower quality |
| PART 1 PART 2 | Q3_K_L | 9.0 | |
| PART 1 PART 2 | IQ4_XS | 9.3 | |
| PART 1 PART 2 | Q4_K_S | 9.7 | fast, recommended |
| PART 1 PART 2 | Q4_K_M | 10.2 | fast, recommended |
| PART 1 PART 2 | Q5_K_S | 11.5 | |
| PART 1 PART 2 | Q5_K_M | 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):
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.