--- language: - en library_name: transformers license: other quantized_by: mradermacher --- ## About weighted/imatrix quants of https://huggingface.co/Locutusque/Hyperion-2.0-Yi-34B static quants are available at https://huggingface.co/mradermacher/Hyperion-2.0-Yi-34B-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/Hyperion-2.0-Yi-34B-i1-GGUF/resolve/main/Hyperion-2.0-Yi-34B.i1-Q2_K.gguf) | i1-Q2_K | 13.5 | 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 ## 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.