About
static quants of https://huggingface.co/helixdouble/GLM-5.1-Abliterated
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/GLM-5.1-Abliterated-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 |
|---|---|---|---|
| P1 P2 P3 P4 P5 P6 | Q2_K | 274.3 | |
| P1 P2 P3 P4 P5 P6 P7 | Q3_K_S | 324.9 | |
| P1 P2 P3 P4 P5 P6 P7 P8 | Q3_K_M | 359.1 | lower quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q3_K_L | 390.4 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | IQ4_XS | 404.4 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 | Q4_K_S | 427.3 | fast, recommended |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 | Q4_K_M | 455.0 | fast, recommended |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 | Q5_K_S | 518.9 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 | Q5_K_M | 534.4 | |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 | Q6_K | 619.0 | very good quality |
| P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 | Q8_0 | 801.4 | fast, best quality |
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.