mradermacher/Qwen3.8-Flash-Next-REAM-60Pct-i1-GGUF

About

<!-- ### quantizeversion: 2 --> <!-- ### outputtensorquantised: 1 --> <!-- ### converttype: hf --> <!-- ### vocabtype: --> <!-- ### tags: nicoboss --> <!-- ### quants: Q2K IQ3M Q4KS IQ3XXS Q3KM small-IQ4NL Q4KM IQ2M Q6K IQ4XS Q2KS IQ1M Q3KS IQ2XXS Q3KL IQ2XS Q5KS IQ2S IQ1S Q5KM Q40 IQ3XS Q41 IQ3S --> <!-- ### quantsskip: --> <!-- ### skip_mmproj: --> weighted/imatrix quants of https://huggingface.co/Akicou/Qwen3.8-Flash-Next-REAM-60Pct

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*For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Qwen3.8-Flash-Next-REAM-60Pct-i1-GGUF).*

static quants are available at https://huggingface.co/mradermacher/Qwen3.8-Flash-Next-REAM-60Pct-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)

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. 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.

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