About
weighted/imatrix quants of https://huggingface.co/Steelskull/Etheria-55b-v0.1
static quants are available at https://huggingface.co/mradermacher/Etheria-55b-v0.1-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-IQ1_S | 12.7 | for the desperate |
GGUF | i1-IQ2_XXS | 15.6 | |
GGUF | i1-IQ2_XS | 17.2 | |
GGUF | i1-IQ2_S | 18.2 | |
GGUF | i1-IQ2_M | 19.7 | |
GGUF | i1-Q2_K | 21.3 | IQ3_XXS probably better |
GGUF | i1-IQ3_XXS | 22.2 | lower quality |
GGUF | i1-IQ3_XS | 23.4 | |
GGUF | i1-Q3_K_S | 24.7 | IQ3_XS probably better |
GGUF | i1-IQ3_S | 24.8 | beats Q3_K* |
GGUF | i1-IQ3_M | 25.7 | |
GGUF | i1-Q3_K_M | 27.5 | IQ3_S probably better |
GGUF | i1-Q3_K_L | 29.9 | IQ3_M probably better |
GGUF | i1-IQ4_XS | 30.4 | |
GGUF | i1-Q4_K_S | 32.3 | optimal size/speed/quality |
GGUF | i1-Q4_K_M | 34.0 | fast, recommended |
GGUF | i1-Q5_K_S | 38.9 | |
GGUF | i1-Q5_K_M | 39.9 | |
GGUF | i1-Q6_K | 46.2 | 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
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.
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Model tree for mradermacher/Etheria-55b-v0.1-i1-GGUF
Base model
SteelStorage/Etheria-55b-v0.1