"Update README.md"

README.md

@@ -14,6 +14,43 @@ license: apache-2.0
 datasets:
 - OpenAssistant/oasst1
 ---
+[![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)]()
+
+## I am still building the structure of these descriptions.
+
+These will contain increasingly more content to help find the best models for a purpose.
+
+# h2ogpt-gm-oasst1-en-2048-falcon-7b-v3 - GGUF
+- Model creator: [h2oai](https://huggingface.co/h2oai)
+- Original model: [h2ogpt-gm-oasst1-en-2048-falcon-7b-v3](https://huggingface.co/h2oai/h2ogpt-gm-oasst1-en-2048-falcon-7b-v3)
+
+
+
+# About GGUF format
+
+`gguf` is the current file format used by the [`ggml`](https://github.com/ggerganov/ggml) library.
+A growing list of Software is using it and can therefore use this model.
+The core project making use of the ggml library is the [llama.cpp](https://github.com/ggerganov/llama.cpp) project by Georgi Gerganov
+
+# Quantization variants
+
+There is a bunch of quantized files available. How to choose the best for you:
+
+# legacy quants
+
+Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.
+Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.
+Falcon 7B models cannot be quantized to K-quants.
+
+# K-quants
+
+K-quants are based on the idea that the quantization of certain parts affects the quality in different ways. If you quantize certain parts more and others less, you get a more powerful model with the same file size, or a smaller file size and lower memory load with comparable performance.
+So, if possible, use K-quants.
+With a Q6_K you should find it really hard to find a quality difference to the original model - ask your model two times the same question and you may encounter bigger quality differences.
+
+
+
+# Original Model Card:
 # Model Card
 ## Summary
 
@@ -198,4 +235,10 @@ Please read this disclaimer carefully before using the large language model prov
 - Reporting Issues: If you encounter any biased, offensive, or otherwise inappropriate content generated by the large language model, please report it to the repository maintainers through the provided channels. Your feedback will help improve the model and mitigate potential issues.
 - Changes to this Disclaimer: The developers of this repository reserve the right to modify or update this disclaimer at any time without prior notice. It is the user's responsibility to periodically review the disclaimer to stay informed about any changes.
 
-By using the large language model provided in this repository, you agree to accept and comply with the terms and conditions outlined in this disclaimer. If you do not agree with any part of this disclaimer, you should refrain from using the model and any content generated by it.
+By using the large language model provided in this repository, you agree to accept and comply with the terms and conditions outlined in this disclaimer. If you do not agree with any part of this disclaimer, you should refrain from using the model and any content generated by it.<center>
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+</center>