--- language: - en library_name: transformers license: other license_name: microsoft-research-license quantized_by: mradermacher tags: - storywriting - text adventure - not-for-all-audiences --- ## About weighted/imatrix quants of https://huggingface.co/jebcarter/psyonic-cetacean-20B ## 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/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ1_S.gguf) | i1-IQ1_S | 4.7 | | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 5.7 | | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ2_M.gguf) | i1-IQ2_M | 7.2 | | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 7.9 | fast, lower quality | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 8.5 | | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ3_S.gguf) | i1-IQ3_S | 9.0 | fast, beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/psyonic-cetacean-20B-i1-GGUF/resolve/main/psyonic-cetacean-20B.i1-IQ3_M.gguf) | i1-IQ3_M | 9.4 | | 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