auto-patch README.md

README.md

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+---
+base_model: migtissera/Tess-3-Llama-3.1-405B
+language:
+- en
+library_name: transformers
+license: llama3.1
+quantized_by: mradermacher
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
 weighted/imatrix quants of https://huggingface.co/migtissera/Tess-3-Llama-3.1-405B
+
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-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 |
+|:-----|:-----|--------:|:------|
+| [PART 1](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q2_K.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q2_K.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q2_K.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q2_K.gguf.part4of4) | i1-Q2_K | 151.3 | IQ3_XXS probably better |
+| [PART 1](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part1of4) [PART 2](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part2of4) [PART 3](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part3of4) [PART 4](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q3_K_M.gguf.part4of4) | i1-Q3_K_M | 197.6 | IQ3_S probably better |
+| [P1](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part1of5) [P2](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part2of5) [P3](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part3of5) [P4](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part4of5) [P5](https://huggingface.co/mradermacher/Tess-3-Llama-3.1-405B-i1-GGUF/resolve/main/Tess-3-Llama-3.1-405B.i1-Q4_K_S.gguf.part5of5) | i1-Q4_K_S | 233.0 | optimal size/speed/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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.
+
+<!-- end -->