Austral-4.5B-Winton-GGUF/README.md

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
Delta-Vector/Austral-4.5B-Winton	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	en	transformers	apache-2.0	readme_rev 1	mradermacher	roleplay finetune axolotl adventure creative-writing

About

static quants of https://huggingface.co/Delta-Vector/Austral-4.5B-Winton

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

weighted/imatrix quants are available at https://huggingface.co/mradermacher/Austral-4.5B-Winton-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	2.0
GGUF	Q3_K_S	2.2
GGUF	Q3_K_M	2.5	lower quality
GGUF	IQ4_XS	2.7
GGUF	Q3_K_L	2.7
GGUF	Q4_K_S	2.8	fast, recommended
GGUF	Q4_K_M	3.0	fast, recommended
GGUF	Q5_K_S	3.3
GGUF	Q5_K_M	3.4
GGUF	Q6_K	3.9	very good quality
GGUF	Q8_0	5.0	fast, best quality
GGUF	f16	9.3	16 bpw, overkill

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

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.