--- base_model: OmnicromsBrain/NeuralStar_AlphaWriter_4x7b language: - en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags: - moe - frankenmoe - merge - mergekit - lazymergekit - mlabonne/AlphaMonarch-7B - FPHam/Karen_TheEditor_V2_STRICT_Mistral_7B - SanjiWatsuki/Kunoichi-DPO-v2-7B - OmnicromsBrain/NeuralStar-7b-Lazy --- ## About static quants of https://huggingface.co/OmnicromsBrain/NeuralStar_AlphaWriter_4x7b weighted/imatrix quants are available at https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-i1-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/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q2_K.gguf) | Q2_K | 8.9 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.IQ3_XS.gguf) | IQ3_XS | 10.0 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q3_K_S.gguf) | Q3_K_S | 10.5 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.IQ3_S.gguf) | IQ3_S | 10.6 | beats Q3_K* | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.IQ3_M.gguf) | IQ3_M | 10.7 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q3_K_M.gguf) | Q3_K_M | 11.7 | lower quality | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q3_K_L.gguf) | Q3_K_L | 12.6 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.IQ4_XS.gguf) | IQ4_XS | 13.1 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q4_K_S.gguf) | Q4_K_S | 13.8 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q4_K_M.gguf) | Q4_K_M | 14.7 | fast, recommended | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q5_K_S.gguf) | Q5_K_S | 16.7 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q5_K_M.gguf) | Q5_K_M | 17.2 | | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q6_K.gguf) | Q6_K | 19.9 | very good quality | | [GGUF](https://huggingface.co/mradermacher/NeuralStar_AlphaWriter_4x7b-GGUF/resolve/main/NeuralStar_AlphaWriter_4x7b.Q8_0.gguf) | Q8_0 | 25.8 | 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 ## 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.