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metadata
base_model: Dunjeon/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored
language:
  - en
library_name: transformers
license: apache-2.0
model_name: The BlackTower 4x8b
model_type: Mixture of Experts (MoE)
quantized_by: mradermacher
tags:
  - text-generation-inference
  - transformers
  - llama
  - Uncensored
  - Role-Play
  - RP
  - ERP
  - Erotic
  - Grim-Dark
  - Horror
  - MOE
  - Mixture-of-Experts
  - 4x8
  - 4x8b
  - Llama-3.1

About

weighted/imatrix quants of https://huggingface.co/Dunjeon/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored

static quants are available at https://huggingface.co/mradermacher/L3.1-4x8b_BlackTower_RP-V1.1-Uncensored-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 5.5 for the desperate
GGUF i1-IQ1_M 6.0 mostly desperate
GGUF i1-IQ2_XXS 6.9
GGUF i1-IQ2_XS 7.6
GGUF i1-IQ2_S 7.8
GGUF i1-IQ2_M 8.5
GGUF i1-Q2_K_S 8.8 very low quality
GGUF i1-Q2_K 9.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 9.9 lower quality
GGUF i1-IQ3_XS 10.5
GGUF i1-Q3_K_S 11.0 IQ3_XS probably better
GGUF i1-IQ3_S 11.1 beats Q3_K*
GGUF i1-IQ3_M 11.2
GGUF i1-Q3_K_M 12.2 IQ3_S probably better
GGUF i1-Q3_K_L 13.1 IQ3_M probably better
GGUF i1-IQ4_XS 13.5
GGUF i1-Q4_0 14.3 fast, low quality
GGUF i1-Q4_K_S 14.4 optimal size/speed/quality
GGUF i1-Q4_K_M 15.3 fast, recommended
GGUF i1-Q4_1 15.8
GGUF i1-Q5_K_S 17.3
GGUF i1-Q5_K_M 17.8
GGUF i1-Q6_K 20.6 practically like static Q6_K

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.