--- base_model: KaraKaraWitch/L3.1-70b-MeowMix2 language: - en library_name: transformers quantized_by: mradermacher tags: - merge - mergekit - lazymergekit - migtissera/Tess-3-Llama-3.1-70B - HODACHI/Llama-3.1-70B-EZO-1.1-it - shenzhi-wang/Llama3.1-70B-Chinese-Chat - Saxo/Linkbricks-Horizon-AI-Korean-llama3.1-sft-dpo-70B --- ## About weighted/imatrix quants of https://huggingface.co/KaraKaraWitch/L3.1-70b-MeowMix2 static quants are available at https://huggingface.co/mradermacher/L3.1-70b-MeowMix2-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/L3.1-70b-MeowMix2-i1-GGUF/resolve/main/L3.1-70b-MeowMix2.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better | 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.