mradermacher/Darwin-27B-RSI-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/FINAL-Bench/Darwin-27B-RSI

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Darwin-27B-RSI-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	imatrix	0.1	imatrix file (for creating your own quants)
GGUF	i1-IQ1_S	7.2	for the desperate
GGUF	i1-IQ1_M	7.7	mostly desperate
GGUF	i1-IQ2_XXS	8.5
GGUF	i1-IQ2_XS	9.2
GGUF	i1-IQ2_S	9.5
GGUF	i1-IQ2_M	10.1
GGUF	i1-Q2_K_S	10.3	very low quality
GGUF	i1-Q2_K	10.8	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	11.3	lower quality
GGUF	i1-IQ3_XS	12.1
GGUF	i1-Q3_K_S	12.2	IQ3_XS probably better
GGUF	i1-IQ3_S	12.5	beats Q3_K*
GGUF	i1-IQ3_M	12.7
GGUF	i1-Q3_K_M	13.4	IQ3_S probably better
GGUF	i1-Q3_K_L	14.4	IQ3_M probably better
GGUF	i1-IQ4_XS	15.2
GGUF	i1-Q4_0	15.6	fast, low quality
GGUF	i1-Q4_K_S	15.7	optimal size/speed/quality
GGUF	i1-Q4_K_M	16.6	fast, recommended
GGUF	i1-Q4_1	17.2
GGUF	i1-Q5_K_S	18.8
GGUF	i1-Q5_K_M	19.3
GGUF	i1-Q6_K	22.2	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