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mradermacher/
mythospice-limarp-70b-i1-GGUF

Name: mythospice-limarp-70b-i1-GGUF
Availability: InStock

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About

weighted/imatrix quants of https://huggingface.co/DS-Archive/mythospice-limarp-70b created using 164k semi-random english-only tokens.

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

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.

(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	15.0	for the desperate
GGUF	i1-IQ1_M	16.0	mostly desperate
GGUF	i1-IQ2_XXS	18.7
GGUF	i1-IQ2_XS	20.8
GGUF	i1-IQ2_S	21.8
GGUF	i1-IQ2_M	23.7
GGUF	i1-Q2_K	25.9	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	27.4	lower quality
GGUF	i1-IQ3_XS	28.6
GGUF	i1-Q3_K_XS	28.7
GGUF	i1-IQ3_S	30.3	beats Q3_K*
GGUF	i1-Q3_K_S	30.3	IQ3_XS probably better
GGUF	i1-IQ3_M	31.4
GGUF	i1-Q3_K_M	33.7	IQ3_S probably better
GGUF	i1-Q3_K_L	36.6	IQ3_M probably better
GGUF	i1-IQ4_XS	37.2
GGUF	i1-Q4_0	39.1	fast, low quality
GGUF	i1-Q4_K_S	39.7	optimal size/speed/quality
GGUF	i1-Q4_K_M	41.8	fast, recommended
GGUF	i1-Q5_K_S	47.9
GGUF	i1-Q5_K_M	49.2
PART 1 PART 2	i1-Q6_K	57.0	practically like static Q6_K

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

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

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.