mradermacher/Blitz-AI-ULTRA-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/DenisTheDev/Blitz-AI-ULTRA

static quants are available at https://huggingface.co/mradermacher/Blitz-AI-ULTRA-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	32.4	for the desperate
GGUF	i1-IQ1_M	34.8	mostly desperate
GGUF	i1-IQ2_XXS	38.8
GGUF	i1-IQ2_XS	42.3
GGUF	i1-IQ2_S	45.2
GGUF	i1-IQ2_M	48.4
PART 1 PART 2	i1-Q2_K	51.6	IQ3_XXS probably better
PART 1 PART 2	i1-IQ3_XXS	53.0	lower quality
PART 1 PART 2	i1-IQ3_XS	56.7
PART 1 PART 2	i1-IQ3_S	59.6	beats Q3_K*
PART 1 PART 2	i1-Q3_K_S	59.6	IQ3_XS probably better
PART 1 PART 2	i1-IQ3_M	62.7
PART 1 PART 2	i1-Q3_K_M	66.3	IQ3_S probably better
PART 1 PART 2	i1-Q3_K_L	72.1	IQ3_M probably better
PART 1 PART 2	i1-IQ4_XS	72.5
PART 1 PART 2	i1-IQ4_NL	76.5	prefer IQ4_XS
PART 1 PART 2	i1-Q4_0	76.7	fast, low quality
PART 1 PART 2	i1-Q4_K_S	77.0	optimal size/speed/quality
PART 1 PART 2	i1-Q4_K_M	81.4	fast, recommended
PART 1 PART 2	i1-Q5_K_S	92.3
PART 1 PART 2	i1-Q5_K_M	94.9
PART 1 PART 2 PART 3	i1-Q6_K	109.2	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

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.