base_model:
- 152334H/miqu-1-70b-sf
- NeverSleep/MiquMaid-v1-70B
- Sao10K/WinterGoddess-1.4x-70B-L2
exported_from: divinetaco/aranea-ancilla-116b-v1.0
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
About
weighted/imatrix quants of https://huggingface.co/divinetaco/aranea-ancilla-116b-v1.0
static quants are available at https://huggingface.co/mradermacher/aranea-ancilla-116b-v1.0-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 | i1-IQ2_XXS | 31.0 | |
| GGUF | i1-IQ2_XS | 34.5 | |
| GGUF | i1-IQ2_M | 39.4 | |
| GGUF | i1-Q2_K | 43.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 44.9 | lower quality |
| GGUF | i1-IQ3_XS | 47.9 | |
| PART 1 PART 2 | i1-Q3_K_S | 50.4 | IQ3_XS probably better |
| PART 1 PART 2 | i1-IQ3_S | 50.6 | beats Q3_K* |
| PART 1 PART 2 | i1-IQ3_M | 52.3 | |
| PART 1 PART 2 | i1-Q3_K_M | 56.3 | IQ3_S probably better |
| PART 1 PART 2 | i1-Q3_K_L | 61.3 | IQ3_M probably better |
| PART 1 PART 2 | i1-IQ4_XS | 62.5 | |
| PART 1 PART 2 | i1-Q4_0 | 66.2 | fast, low quality |
| PART 1 PART 2 | i1-Q4_K_S | 66.4 | optimal size/speed/quality |
| PART 1 PART 2 | i1-Q4_K_M | 70.2 | fast, recommended |
| PART 1 PART 2 | i1-Q5_K_S | 80.5 | |
| PART 1 PART 2 | i1-Q5_K_M | 82.7 | |
| PART 1 PART 2 | i1-Q6_K | 96.0 | practically like static Q6_K |
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
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.