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Hamanasu-QwQ-V1.5-Instruct-i1-GGUF

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metadata
base_model: Delta-Vector/Hamanasu-QwQ-V1.5-Instruct
datasets:
  - NewEden/Orion-LIT
  - NewEden/Orion-Asstr-Stories-16K
  - Mielikki/Erebus-87k
  - NewEden/Hydrus-R1-Thinking-Sharegpt
  - PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
  - Nitral-AI/ARES-ShareGPT
  - NewEden/Hydrus-HelpSteer2
  - PocketDoc/Dans-Codemaxx-CodeFeedback-Conversations
  - PocketDoc/Dans-Toolmaxx-Agent
  - PocketDoc/Dans-Assistantmaxx-Tulu3-IF
  - NewEden/Hydrus-SonnetOrca
  - NewEden/Hydrus-Chat_error-Pure-Dove-sharegpt
  - NewEden/No_Robots-R1-Filtered
  - NewEden/GSM8K-R1-filtered
  - NewEden/Hydrus_Anthropic_hh_harmful-sharegpt
  - NewEden/Hydrus-Instruct-SmolTalk
  - PocketDoc/Dans-Logicmaxx-Skunkworks
  - PocketDoc/Dans-Logicmaxx-SAT-AP
  - PocketDoc/Dans-Toolmaxx-ShellCommands
  - PocketDoc/Dans-Taskmaxx-Edit
language:
  - en
library_name: transformers
quantized_by: mradermacher
tags:
  - qwen
  - roleplay
  - finetune
  - storywriting

About

weighted/imatrix quants of https://huggingface.co/Delta-Vector/Hamanasu-QwQ-V1.5-Instruct

static quants are available at https://huggingface.co/mradermacher/Hamanasu-QwQ-V1.5-Instruct-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 7.4 for the desperate
GGUF i1-IQ1_M 8.0 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.5
GGUF i1-IQ2_M 11.4
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 14.9
GGUF i1-Q3_K_M 16.0 IQ3_S probably better
GGUF i1-Q3_K_L 17.3 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 20.0 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.4
GGUF i1-Q6_K 27.0 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.