--- 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](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Hamanasu-Magnum-QwQ-32B-i1-GGUF/resolve/main/Hamanasu-Magnum-QwQ-32B.i1-Q2_K.gguf) | i1-Q2_K | 12.4 | IQ3_XXS probably better | | [GGUF](https://huggingface.co/mradermacher/Hamanasu-Magnum-QwQ-32B-i1-GGUF/resolve/main/Hamanasu-Magnum-QwQ-32B.i1-IQ3_M.gguf) | i1-IQ3_M | 14.9 | | | [GGUF](https://huggingface.co/mradermacher/Hamanasu-Magnum-QwQ-32B-i1-GGUF/resolve/main/Hamanasu-Magnum-QwQ-32B.i1-Q4_K_S.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](https://www.nethype.de/huggingface_embed/quantpplgraph.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](https://www.nethype.de/), for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to [@nicoboss](https://huggingface.co/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.