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Austral-32B-GLM4-Winton-i1-GGUF

Transformers
GGUF
English
roleplay
finetune
axolotl
adventure
creative-writing
GLM4
32B
imatrix
conversational
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metadata
base_model: Delta-Vector/Austral-32B-GLM4-Winton
datasets:
  - Delta-Vector/Tauri-Rep-Remover-KTO
  - Delta-Vector/Orion-LN-V1-ShareGPT
  - Delta-Vector/Orion-Personamaxx-RP
  - Delta-Vector/Orion-Co-Writer-51K
  - Delta-Vector/Orion-Praxis-Co-Writer
  - Delta-Vector/Orion-Shoujo-AI-Filtered-ShareGPT
  - Delta-Vector/Orion-PIPPA-Cleaned-V2
  - Delta-Vector/Orion-Alpindale-LN-ShareGPT
  - Delta-Vector/Orion-Deepseek-V3-RP-Filtered
  - Delta-Vector/Orion-Books-V2-ShareGPT
  - >-
    Delta-Vector/Orion-Light-Novels-Roleplay-Logs-Books-Oh-My-duplicate-turns-removed
  - Delta-Vector/Orion-RP-Guild
  - Delta-Vector/Orion-Creative_Writing-Complexity
  - Delta-Vector/Orion-Deepseek-R1-RP-Filtered
  - Delta-Vector/Orion-Storium-Prefixed-Clean
  - Delta-Vector/Orion-Misc-Sharegpt-Prefixed
  - Delta-Vector/Orion-LIMARP-Complexity
  - Delta-Vector/Orion-BlueSky-10K-Complexity
  - Delta-Vector/Orion-OpenCAI-ShareGPT
  - Delta-Vector/Orion-Roleplay-Logs-Sharegpt-Ngram-cleaned
  - Delta-Vector/Orion-vanilla-backrooms-claude-sharegpt
language:
  - en
library_name: transformers
license: apache-2.0
mradermacher:
  readme_rev: 1
quantized_by: mradermacher
tags:
  - roleplay
  - finetune
  - axolotl
  - adventure
  - creative-writing
  - GLM4
  - 32B

About

weighted/imatrix quants of https://huggingface.co/Delta-Vector/Austral-32B-GLM4-Winton

For a convenient overview and download list, visit our model page for this model.

static quants are available at https://huggingface.co/mradermacher/Austral-32B-GLM4-Winton-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 12.4 IQ3_XXS probably better
GGUF i1-IQ3_M 14.9
GGUF i1-Q4_K_S 18.8 optimal size/speed/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. 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.