mradermacher/starcoderplus-i1-GGUF

---

base_model: bigcode/starcoderplus datasets:

• bigcode/the-stack-dedup
• tiiuae/falcon-refinedweb

extragatedfields: I accept the above license agreement, and will use the Model complying with the set of use restrictions and sharing requirements: checkbox extragatedprompt: "## Model License Agreement\nPlease read the BigCode OpenRAIL-M license agreement before accepting it.\n " language:

• en

library_name: transformers quantized_by: mradermacher tags:

• code

---

About

weighted/imatrix quants of https://huggingface.co/bigcode/starcoderplus

static quants are available at https://huggingface.co/mradermacher/starcoderplus-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	3.8	for the desperate
GGUF	i1-IQ1_M	4.1	mostly desperate
GGUF	i1-IQ2_XXS	4.6
GGUF	i1-IQ2_XS	5.0
GGUF	i1-IQ2_S	5.4
GGUF	i1-IQ2_M	5.8
GGUF	i1-Q2K	6.4	IQ3XXS probably better
GGUF	i1-IQ3_XXS	6.5	lower quality
GGUF	i1-IQ3_XS	7.0
GGUF	i1-IQ3S	7.2	beats Q3K*
GGUF	i1-Q3KS	7.2	IQ3XS probably better
GGUF	i1-IQ3_M	7.7
GGUF	i1-Q3KM	8.5	IQ3S probably better
GGUF	i1-IQ4_XS	8.8
GGUF	i1-Q4_0	9.3	fast, low quality
GGUF	i1-Q4K_S	9.4	optimal size/speed/quality
GGUF	i1-Q3KL	9.4	IQ3M probably better
GGUF	i1-Q4K_M	10.2	fast, recommended
GGUF	i1-Q5K_S	11.2
GGUF	i1-Q5K_M	11.8
GGUF	i1-Q6K	13.2	practically like static Q6K

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

!image.png

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.