auto-patch README.md

README.md

@@ -1 +1,59 @@
+---
+language:
+- en
+library_name: transformers
+license: cc-by-4.0
+quantized_by: mradermacher
+tags:
+- merge
+- moe
+---
+## About
+
 static quants of https://huggingface.co/rombodawg/Open_Gpt4_8x7B_v0.2
+
+
+<!-- provided-files -->
+## 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/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q2_K.gguf) | Q2_K | 17.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.IQ3_XS.gguf) | IQ3_XS | 19.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.IQ3_S.gguf) | IQ3_S | 20.7 | beats Q3_K* |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q3_K_S.gguf) | Q3_K_S | 20.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.IQ3_M.gguf) | IQ3_M | 21.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q3_K_M.gguf) | Q3_K_M | 22.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q3_K_L.gguf) | Q3_K_L | 24.4 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.IQ4_XS.gguf) | IQ4_XS | 25.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q4_K_S.gguf) | Q4_K_S | 27.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q4_K_M.gguf) | Q4_K_M | 28.7 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q5_K_S.gguf) | Q5_K_S | 32.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q5_K_M.gguf) | Q5_K_M | 33.5 |  |
+| [GGUF](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q6_K.gguf) | Q6_K | 38.6 | very good quality |
+| [PART 1](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q8_0.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Open_Gpt4_8x7B_v0.2-GGUF/resolve/main/Open_Gpt4_8x7B_v0.2.Q8_0.gguf.part2of2) | Q8_0 | 49.8 | 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
+
+## 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 -->