Update README.md

README.md

@@ -5,6 +5,7 @@ tags:
 - ggml
 - causal-lm
 - gpt2
+- text-generation
 license: mit
 ---
 ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6251b9851842c08ef3111c4f/NtCV4dSUaHb7XnMYrm1iF.png)
@@ -26,6 +27,7 @@ aid2classic-ggml-f16.bin | 3.2 GiB | 3.6 GiB
 - 2019 AI Dungeon users may recognize this model as the same one that powered [the open-source AI Dungeon 2 project](https://github.com/Latitude-Archives/AIDungeon) and its various forks. This was before AI Dungeon 2 moved to its own website and consequently rebranded to "AI Dungeon".
 - 2020-2021 AI Dungeon users may recognize this model as "Classic", the free tier below Griffin (free, but later used "energy") and Dragon (subscription).
 - If you want a better model trained on the same dataset at the cost of higher hardware requirements, check out [Spring Dragon 13B](https://huggingface.co/TheBloke/Spring-Dragon-GGUF), intended to replicate 2020 AI Dungeon's "Dragon" experience on local hardware.
+- The motivation behind these quantizations was that [Henk717/ai-dungeon2-classic-ggml](https://huggingface.co/Henk717/ai-dungeon2-classic-ggml) was older and lacked other quantization formats. The workflow for this quantization was also different: henk717's mentions being converted to a 16-bit Pytorch checkpoint before being converted to GGML. This one was converted straight from Tensorflow to 16-bit GGML before being quantized.
 
 **Notes:**
 - KoboldCpp [[bfc696f]](https://github.com/LostRuins/koboldcpp/tree/bfc696fcc452975dbe8967c39301ba856d04a030) was tested without OpenBLAS.