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metadata
base_model: Delta-Vector/Hamanasu-Magnum-QwQ-32B
datasets:
  - NewEden/Orion-LIT
  - NewEden/Orion-Asstr-Stories-16K
  - Mielikki/Erebus-87k
  - NewEden/RP-logs-V2-Experimental-prefixed
  - NewEden/Creative_Writing-Complexity
  - NewEden/Discord-Filtered
  - NewEden/DeepseekRP-Filtered
  - NewEden/Storium-Prefixed-Clean
  - NewEden/Basket-Weaving-Filtered
  - NewEden/LIMARP-Complexity
  - NewEden/Misc-Data-Sharegpt-Prefixed
  - NewEden/BlueSky-10K-Complexity
  - NewEden/OpenCAI-ShareGPT
  - NewEden/Basket-Weaving-Filtered
  - PocketDoc/Dans-Personamaxx-VN
  - PocketDoc/Dans-Kinomaxx-VanillaBackrooms
  - PocketDoc/Dans-Personamaxx-Logs
  - anthracite-org/kalo-opus-instruct-22k-no-refusal
  - lodrick-the-lafted/kalo-opus-instruct-3k-filtered
  - anthracite-org/nopm_claude_writing_fixed
  - anthracite-org/kalo_opus_misc_240827
  - anthracite-org/kalo_misc_part2
  - NewEden/Claude-Instruct-5K
  - NewEden/Claude-Instruct-2.7K
language:
  - en
library_name: transformers
quantized_by: mradermacher
tags:
  - qwen
  - roleplay
  - finetune
  - storywriting

About

weighted/imatrix quants of https://huggingface.co/Delta-Vector/Hamanasu-Magnum-QwQ-32B

static quants are available at https://huggingface.co/mradermacher/Hamanasu-Magnum-QwQ-32B-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 18.9 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.