mradermacher/Yeet_51b_200k-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/MarsupialAI/Yeet_51b_200k

No more quants forthcoming, as llama.cpp crashes.

static quants are available at https://huggingface.co/mradermacher/Yeet_51b_200k-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-Q2_K	19.6	IQ3_XXS probably better
GGUF	i1-Q3_K_S	22.8	IQ3_XS probably better
GGUF	i1-Q3_K_M	25.3	IQ3_S probably better
GGUF	i1-Q3_K_L	27.6	IQ3_M probably better
GGUF	i1-Q4_0	29.6	fast, low quality
GGUF	i1-Q4_K_S	29.7	optimal size/speed/quality
GGUF	i1-Q4_K_M	31.3	fast, recommended
GGUF	i1-Q5_K_S	35.9
GGUF	i1-Q5_K_M	36.8
GGUF	i1-Q6_K	42.6	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

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.