Update README.md

README.md

@@ -8,62 +8,7 @@ quantized_by: mradermacher
 tags:
 - not-for-all-audiences
 ---
-## About
+## Note
 
-<!-- ### quantize_version: 1 -->
-<!-- ### output_tensor_quantised: 1 -->
-<!-- ### convert_type:  -->
-<!-- ### vocab_type:  -->
-static quants of https://huggingface.co/openlynn/lynn-A2.7B-rp-v1
-
-<!-- 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/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q2_K.gguf) | Q2_K | 6.0 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.IQ3_XS.gguf) | IQ3_XS | 6.6 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.IQ3_S.gguf) | IQ3_S | 6.9 | beats Q3_K* |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q3_K_S.gguf) | Q3_K_S | 6.9 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.IQ3_M.gguf) | IQ3_M | 7.0 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q3_K_M.gguf) | Q3_K_M | 7.5 | lower quality |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q3_K_L.gguf) | Q3_K_L | 7.8 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.IQ4_XS.gguf) | IQ4_XS | 8.0 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q4_K_S.gguf) | Q4_K_S | 8.8 | fast, recommended |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q4_K_M.gguf) | Q4_K_M | 9.6 | fast, recommended |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q5_K_S.gguf) | Q5_K_S | 10.3 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q5_K_M.gguf) | Q5_K_M | 10.9 |  |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q6_K.gguf) | Q6_K | 12.9 | very good quality |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.Q8_0.gguf) | Q8_0 | 15.3 | fast, best quality |
-| [GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF/resolve/main/lynn-A2.7B-rp-v1.f16.gguf) | f16 | 28.7 | 16 bpw, overkill |
-
-
-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 -->
+This repo hosts only a Q5_K_S of [lynn-A2.7B-rp-v1](https://huggingface.co/openlynn/lynn-A2.7B-rp-v1).
+GGUF quant is from [mradermacher/lynn-A2.7B-rp-v1-GGUF](https://huggingface.co/mradermacher/lynn-A2.7B-rp-v1-GGUF)