auto-patch README.md

README.md

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+---
+base_model:
+- CultriX/MonaTrix-v4
+- mlabonne/OmniTruthyBeagle-7B-v0
+- CultriX/MoNeuTrix-7B-v1
+- paulml/OmniBeagleSquaredMBX-v3-7B
+exported_from: CultriX/NeuralMona_MoE-4x7B
+language:
+- en
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- CultriX/MonaTrix-v4
+- mlabonne/OmniTruthyBeagle-7B-v0
+- CultriX/MoNeuTrix-7B-v1
+- paulml/OmniBeagleSquaredMBX-v3-7B
+---
+## About
+
 weighted/imatrix quants of https://huggingface.co/CultriX/NeuralMona_MoE-4x7B
+
+
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-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/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q2_K.gguf) | i1-Q2_K | 9.1 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 9.6 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 10.7 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 11.8 | IQ3_S probably better |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 12.8 | IQ3_M probably better |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q4_0.gguf) | i1-Q4_0 | 13.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q4_K_S.gguf) | i1-Q4_K_S | 14.0 | optimal size/speed/quality |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q4_K_M.gguf) | i1-Q4_K_M | 14.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q5_K_S.gguf) | i1-Q5_K_S | 16.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q5_K_M.gguf) | i1-Q5_K_M | 17.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/NeuralMona_MoE-4x7B-i1-GGUF/resolve/main/NeuralMona_MoE-4x7B.i1-Q6_K.gguf) | i1-Q6_K | 20.1 | practically like static Q6_K |
+
+
+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.
+
+<!-- end -->