About
static quants of https://huggingface.co/zai-org/GLM-4.6
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-4.6-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 PART 3 | Q2_K | 130.1 | |
PART 1 PART 2 PART 3 PART 4 | Q3_K_S | 154.0 | |
PART 1 PART 2 PART 3 PART 4 | Q3_K_M | 170.3 | lower quality |
PART 1 PART 2 PART 3 PART 4 | Q3_K_L | 185.1 | |
PART 1 PART 2 PART 3 PART 4 | IQ4_XS | 191.8 | |
P1 P2 P3 P4 P5 | Q4_K_S | 202.6 | fast, recommended |
P1 P2 P3 P4 P5 | Q4_K_M | 215.4 | fast, recommended |
P1 P2 P3 P4 P5 | Q5_K_S | 245.8 | |
P1 P2 P3 P4 P5 P6 | Q5_K_M | 253.0 | |
P1 P2 P3 P4 P5 P6 | Q6_K | 293.0 | very good quality |
P1 P2 P3 P4 P5 P6 P7 P8 | Q8_0 | 379.4 | 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.
Model tree for mradermacher/GLM-4.6-GGUF
Base model
zai-org/GLM-4.6