mradermacher/tsukasa-120b-qlora-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/ludis/tsukasa-120b-qlora

No more quants incoming, as llmama.cpp crashes when trying to generate them.

static quants are available at https://huggingface.co/mradermacher/tsukasa-120b-qlora-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	43.3	IQ3_XXS probably better
PART 1 PART 2	i1-Q3_K_S	50.8	IQ3_XS probably better
PART 1 PART 2	i1-Q3_K_M	56.7	IQ3_S probably better
PART 1 PART 2	i1-Q3_K_L	61.8	IQ3_M probably better
PART 1 PART 2	i1-Q4_K_S	66.9	optimal size/speed/quality
PART 1 PART 2	i1-Q4_K_M	70.7	fast, recommended
PART 1 PART 2	i1-Q5_K_S	81.1
PART 1 PART 2	i1-Q6_K	96.7	practically like static Q6_K
PART 1 PART 2 PART 3	i1-Q8_0	125.2	fast, best quality

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.