About

static quants of https://huggingface.co/llmixer/BigWeave-v29-122b

weighted/imatrix quants are available at https://huggingface.co/mradermacher/BigWeave-v29-122b-i1-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 Q2_K 44.9
PART 1 PART 2 Q3_K_S 52.6
PART 1 PART 2 Q3_K_M 58.7 lower quality
PART 1 PART 2 Q3_K_L 64.0
PART 1 PART 2 IQ4_XS 65.8
PART 1 PART 2 Q4_K_S 69.3 fast, recommended
PART 1 PART 2 Q4_K_M 73.2 fast, recommended
PART 1 PART 2 Q5_K_S 84.0
PART 1 PART 2 Q5_K_M 86.3
PART 1 PART 2 PART 3 Q6_K 100.2 very good quality
PART 1 PART 2 PART 3 Q8_0 129.8 fast, best quality

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

image.png

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.

Downloads last month
3
GGUF
Model size
122B params
Architecture
llama
Hardware compatibility
Log In to view the estimation

2-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for mradermacher/BigWeave-v29-122b-GGUF

Quantized
(2)
this model