auto-patch README.md

README.md

@@ -1,6 +1,70 @@
+---
+base_model: MaziyarPanahi/calme-2.3-llama3-70b
+datasets:
+- MaziyarPanahi/truthy-dpo-v0.1-axolotl
+language:
+- en
+library_name: transformers
+license: llama3
+license_link: LICENSE
+license_name: llama3
+model_creator: MaziyarPanahi
+model_name: calme-2.3-llama3-70b
+quantized_by: mradermacher
+tags:
+- axolotl
+- finetune
+- dpo
+- facebook
+- meta
+- pytorch
+- llama
+- llama-3
+- chatml
+---
+## About
+
 <!-- ### quantize_version: 2 -->
 <!-- ### output_tensor_quantised: 1 -->
 <!-- ### convert_type: hf -->
 <!-- ### vocab_type:  -->
 <!-- ### tags: nicoboss -->
 weighted/imatrix quants of https://huggingface.co/MaziyarPanahi/calme-2.3-llama3-70b
+
+<!-- provided-files -->
+static quants are available at https://huggingface.co/mradermacher/calme-2.3-llama3-70b-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/calme-2.3-llama3-70b-i1-GGUF/resolve/main/calme-2.3-llama3-70b.i1-Q2_K.gguf) | i1-Q2_K | 26.5 | IQ3_XXS probably better |
+| [GGUF](https://huggingface.co/mradermacher/calme-2.3-llama3-70b-i1-GGUF/resolve/main/calme-2.3-llama3-70b.i1-Q4_K_S.gguf) | i1-Q4_K_S | 40.4 | 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 hardware for calculating the imatrix for these quants.
+
+<!-- end -->