--- exported_from: bunnycore/CodeZero-7B language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags: - merge - mergekit - lazymergekit - ResplendentAI/DaturaCookie_7B - ResplendentAI/Flora_7B --- ## About static quants of https://huggingface.co/bunnycore/CodeZero-7B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion. ## 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/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.IQ3_S.gguf) | IQ3_S | 4.0 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.IQ3_M.gguf) | IQ3_M | 4.2 | | | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.Q4_K_S.gguf) | Q4_K_S | 5.2 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/CodeZero-7B-GGUF/resolve/main/CodeZero-7B.Q8_0.gguf) | Q8_0 | 9.7 | fast, best quality | 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.