Edit model card

About

static quants of https://huggingface.co/Kukedlc/NeuralGanesha-7b

weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

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 3.0
GGUF IQ3_XS 3.3
GGUF Q3_K_S 3.4
GGUF IQ3_S 3.4 beats Q3_K*
GGUF IQ3_M 3.5
GGUF Q3_K_M 3.8 lower quality
GGUF Q3_K_L 4.1
GGUF IQ4_XS 4.2
GGUF Q4_0 4.4 fast, low quality
GGUF Q4_K_S 4.4 fast, recommended
GGUF IQ4_NL 4.4 prefer IQ4_XS
GGUF Q4_K_M 4.6 fast, recommended
GGUF Q5_K_S 5.3
GGUF Q5_K_M 5.4
GGUF Q6_K 6.2 very good quality
GGUF Q8_0 7.9 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
109
GGUF
Model size
7.24B params
Architecture
llama

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for mradermacher/NeuralGanesha-7b-GGUF

Quantized
(1)
this model