A newer version of this model is available: redrix/patricide-12B-Unslop-Mell-v2

patricide-12B-Unslop-Mell

The sins of the Father shan't ever be repeated this way.

PatricideLogo.png

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:

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.

Downloads last month
84
Safetensors
Model size
12.2B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for redrix/patricide-12B-Unslop-Mell

Collection including redrix/patricide-12B-Unslop-Mell