About
static quants of https://huggingface.co/lodrick-the-lafted/Grafted-Titanic-Dolphin-2x120B
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Grafted-Titanic-Dolphin-2x120B-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 | Q2_K | 78.6 | |
PART 1 PART 2 | IQ3_XS | 87.4 | |
PART 1 PART 2 | Q3_K_S | 92.6 | |
PART 1 PART 2 | IQ3_S | 92.8 | beats Q3_K* |
PART 1 PART 2 | IQ3_M | 95.0 | |
PART 1 PART 2 PART 3 | Q3_K_M | 103.0 | lower quality |
PART 1 PART 2 PART 3 | Q3_K_L | 111.9 | |
PART 1 PART 2 PART 3 | IQ4_XS | 115.8 | |
PART 1 PART 2 PART 3 | Q4_K_S | 122.0 | fast, recommended |
PART 1 PART 2 PART 3 | Q4_K_M | 129.5 | fast, recommended |
PART 1 PART 2 PART 3 PART 4 | Q5_K_S | 147.8 | |
PART 1 PART 2 PART 3 PART 4 | Q5_K_M | 152.2 | |
PART 1 PART 2 PART 3 PART 4 | Q6_K | 176.2 | very good quality |
P1 P2 P3 P4 P5 | Q8_0 | 228.0 | 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.