base_model:
- inflatebot/MN-12B-Mag-Mell-R1
- TheDrummer/UnslopNemo-12B-v4.1
library_name: transformers
tags:
- mergekit
- merge
- 12b
- chat
- roleplay
- creative-writing
- SLERP
license: apache-2.0
new_version: redrix/patricide-12B-Unslop-Mell-v2
patricide-12B-Unslop-Mell
The sins of the Father shan't ever be repeated this way.
This is a merge of pre-trained language models created using mergekit.
This is my first merge — I still have no idea how writing the parameters in the config actually works. (Update: I figured it out) If anyone has more extensive guides for merging, please let me know. I would also like to get into the science behind all this.
Both models produced enjoyable results, so I decided to merge them, to create a model hopefully inheriting good traits of the parents. (Update: The early testing of this model revealed good coherency, but it sometimes spits out unintelligeble gibberish or made-up words. This is likely due to the broken tokenizer)
I've tested this model on the Q6_K GGUF Quant and it provided satisfactory results, thus I decided to upload it. Although I've not extensively tested it in Storywriting nor RP, the results were stable and at least coherent. I tested it on a Temperature of 1 (Temperature last) and Min-P of 0.1. I don't know the effects DRY or XTC have on the stability of the output, or how it fares on high context sizes. Both parent models use the ChatML Template. Although Unslop-Nemo also uses Metharme/Pygmalion. I've not yet tested which works better. (Update: Mergekit introduced a feature to define the template; I will force it to use ChatML in my next models, so it has an all-around standard.)
Feel free to experiment, as I am only experimenting myself.
Update: I will likely release my next models once I am able to run them, without too much fine-tuning of samplers/parameters/text templates/etc. Extensive testing as per DavidAU's approach will be done afterwards, so I may gain more impressions, while being able to work on new models already. I would like to create models that are very good in their base states, with samplers being the thing to perfect them. As such I won't spend too much time finetuning samplers, unless the model's base state is very promising.
Quantization
Static GGUF Quants available at:
- redrix/patricide-12B-Unslop-Mell-GGUF (has less quants than below ⬇️)
- mradermacher/patricide-12B-Unslop-Mell-GGUF (Thanks ♥️)
Weighted/Imatrix GGUF Quants available at mradermacher/patricide-12B-Unslop-Mell-i1-GGUF.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: TheDrummer/UnslopNemo-12B-v4.1
- model: inflatebot/MN-12B-Mag-Mell-R1
merge_method: slerp
base_model: TheDrummer/UnslopNemo-12B-v4.1
dtype: bfloat16
parameters:
t: [0, 0.5, 1, 0.5, 0]
I made the cover art myself in Photoshop... I don't use AI for stuff like that.