auto-patch README.md

README.md

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-weighted/imatrix quants of https://huggingface.co/cognitivecomputations/DolphinHermes-120b
+---
+base_model:
+- NousResearch/Nous-Hermes-2-Llama-2-70B
+- cognitivecomputations/dolphin-2.2-70b
+language:
+- en
+library_name: transformers
+license: llama2
+quantized_by: mradermacher
+tags:
+- mergekit
+- merge
+---
+## About
+
+weighted/imatrix quants of https://huggingface.co/cognitivecomputations/DolphinHermes-120b
+
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/DolphinHermes-120b-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/DolphinHermes-120b-i1-GGUF/resolve/main/DolphinHermes-120b.i1-Q2_K.gguf) | i1-Q2_K | 44.6 | IQ3_XXS probably better |
+
+
+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
+
+<!-- end -->