Update README.md

README.md

@@ -2,7 +2,6 @@
 base_model: DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B
 language:
 - en
-library_name: transformers
 license: apache-2.0
 quantized_by: mradermacher
 tags:
@@ -37,57 +36,3 @@ tags:
 - merge
 - not-for-all-audiences
 ---
-## About
-
-<!-- ### quantize_version: 2 -->
-<!-- ### output_tensor_quantised: 1 -->
-<!-- ### convert_type: hf -->
-<!-- ### vocab_type:  -->
-<!-- ### tags:  -->
-static quants of https://huggingface.co/DavidAU/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B
-
-<!-- provided-files -->
-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/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q2_K.gguf) | Q2_K | 9.4 |  |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q3_K_S.gguf) | Q3_K_S | 11.0 |  |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q3_K_M.gguf) | Q3_K_M | 12.2 | lower quality |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q3_K_L.gguf) | Q3_K_L | 13.1 |  |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q4_K_S.gguf) | Q4_K_S | 14.4 | fast, recommended |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q4_K_M.gguf) | Q4_K_M | 15.3 | fast, recommended |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q5_K_S.gguf) | Q5_K_S | 17.3 |  |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q5_K_M.gguf) | Q5_K_M | 17.8 |  |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q6_K.gguf) | Q6_K | 20.6 | very good quality |
-| [GGUF](https://huggingface.co/mradermacher/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B-GGUF/resolve/main/L3.1-MOE-4X8B-Dark-Reasoning-Super-Nova-RP-Hermes-R1-Uncensored-25B.Q8_0.gguf) | Q8_0 | 26.6 | 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.
-
-<!-- end -->