FallenMerick

This is the model I was trying to create when Chunky-Lotus emerged. Not only does this model score higher on my local EQ benchmarks (80.00 w/ 100% parsed @ 8-bit), but it does an even better job at roleplaying and producing creative outputs while still adhering to wide ranges of character personalities. The high levels of emotional intelligence are really quite noticeable as well. Once again, models tend to score higher on my local tests when compared to their posted scores, but this has become the new high score for models I've personally tested. I really like the way this model writes, and I hope you'll enjoy using it as well! GGUF Quants: https://huggingface.co/backyardai/MN-Violet-Lotus-12B-GGUF https://huggingface.co/mradermacher/MN-Violet-Lotus-12B-GGUF https://huggingface.co/mradermacher/MN-Violet-Lotus-12B-i1-GGUF Special thanks to @Zeldazachman for these amazing ST settings that I now wholeheartedly recommend! This is a merge of pre-trained language models created using mergekit. This model was merged using the Model Stock merge method. The following models were included in the merge: Epiculous/VioletTwilight-v0.2 NeverSleep/Lumimaid-v0.2-12B flammenai/Mahou-1.5-mistral-nemo-12B Sao10K/MN-12B-Lyra-v4 The following YAML configuration was used to produce this model: In this recipe, Violet Twilight and Lumimaid were first blended using the SLERP method to create a strong roleplaying foundation. Lyra v4 is then added to the mix for its great creativity and roleplaying performance, along with Mahou to once again curtail the outputs and prevent the resulting model from becoming too wordy. Model Stock was used for the final merge in order to really push the resulting weights in the proper direction while using Nemo Instruct as a strong anchor point.

Language model with a license of CC BY 4.0.

I had originally planned to use this model for future/further merges, but decided to go ahead and release it since it scored rather high on my local EQ Bench testing (79.58 w/ 100% parsed @ 8-bit). Bear in mind that most models tend to score a bit higher on my own local tests as compared to their posted scores. Still, its the highest score I've personally seen from all the models I've tested. Its a decent model, with great emotional intelligence and acceptable adherence to various character personalities. It does a good job at roleplaying despite being a bit bland at times. Overall, I like the way it writes, but it has a few formatting issues that show up from time to time, and it has an uncommon tendency to paste walls of character feelings/intentions at the end of some outputs without any prompting. This is something I hope to correct with future iterations. This is a merge of pre-trained language models created using mergekit. GGUF quants: https://huggingface.co/backyardai/MN-Chunky-Lotus-12B-GGUF https://huggingface.co/mradermacher/MN-Chunky-Lotus-12B-GGUF https://huggingface.co/mradermacher/MN-Chunky-Lotus-12B-i1-GGUF https://huggingface.co/FallenMerick/MN-Chunky-Lotus-12B-GGUF The following models were included in the merge: Epiculous/VioletTwilight-v0.2 nbeerbower/mistral-nemo-gutenberg-12B-v4 flammenai/Mahou-1.5-mistral-nemo-12B The following YAML configuration was used to produce this model: The idea behind this recipe was to take the long-form writing capabilities of Gutenberg, curtail it a bit with the very short output formatting of Mahou, and use Violet Twilight as an extremely solid roleplaying foundation underneath. Rocinante is used as the base model in this merge in order to really target the delta weights from Gutenberg, since those seemed to have the highest impact on the resulting EQ of the model. Special shoutout to @matchaaaaa for helping with testing, and for all the great model recommendations. Also, for just being an all around great person who's really inspired and motivated me to continue merging and working on models.