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miqu-1-103b-i1-GGUF

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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

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

image.png