Hugging Face's logo

mradermacher
/
Kei_Llama3_8B-GGUF

Transformers
GGUF
English
Inference Endpoints
conversational
Model card Files Community
Kei_Llama3_8B-GGUF / README.md
mradermacher's picture
mradermacher
auto-patch README.md
ae43d81 verified
preview code
|
raw
history blame
No virus
2.11 kB
metadata
base_model:
  - jeiku/Chaos_RP_l3_8B
  - ResplendentAI/BlueMoon_Llama3
  - jeiku/Chaos_RP_l3_8B
  - ResplendentAI/Luna_Llama3
  - jeiku/Chaos_RP_l3_8B
  - ResplendentAI/Aura_Llama3
  - Undi95/Llama-3-Unholy-8B
exported_from: ResplendentAI/Kei_Llama3_8B
language:
  - en
library_name: transformers
license: apache-2.0
quantized_by: mradermacher

About

static quants of https://huggingface.co./ResplendentAI/Kei_Llama3_8B

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 IQ3_S 3.8 beats Q3_K*
GGUF Q4_K_S 4.8 fast, recommended
GGUF Q8_0 8.6 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

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.