metadata
base_model:
- 152334H/miqu-1-70b-sf
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
About
weighted/imatrix quants of https://huggingface.co/wolfram/miqu-1-103b
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_M | 35.0 | |
GGUF | i1-IQ3_XXS | 39.9 | fast, lower quality |
GGUF | i1-IQ3_XS | 42.4 |
Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):