base_model, library_name, tags, license
| base_model | library_name | tags | license | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
transformers |
|
apache-2.0 |
AngelSlayer-12B-Unslop-Mell-RPMax-DARKNESS-v3
They say ‘He’ will bring the apocalypse. She seeks understanding, not destruction.
This is a merge of pre-trained language models created using mergekit.
This is more like a v2b, as I got the feedback that the output was boring. I agree, so I tuned up the parameters. I really like the base models by themselves, yet I tuned the parameters too low in v2 to introduce the 'spice' of more creative models. If your experience with this model is negative, try and compare it with v2. This model isn't supposed to be inherently better, just an alternative. Untested right now, as I'm working on new intriguing merges.
Ninth model.
Merge Details
Merge Method
This model was merged using the linear DELLA merge method using TheDrummer/UnslopNemo-12B-v4 as a base.
Models Merged
The following models were included in the merge:
- DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
- ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
- inflatebot/MN-12B-Mag-Mell-R1
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.2
parameters:
weight:
- filter: self_attn
value: 0.35
- filter: mlp
value: 0.2
- value: 0.25
density: 0.65
- model: TheDrummer/UnslopNemo-12B-v4
parameters:
weight:
- filter: self_attn
value: 0.3
- filter: mlp
value: 0.15
- value: 0.2
density: 0.6
- model: inflatebot/MN-12B-Mag-Mell-R1
parameters:
weight:
- filter: self_attn
value: 0.2
- filter: mlp
value: 0.35
- value: 0.3
density: 0.75
- model: DavidAU/MN-GRAND-Gutenberg-Lyra4-Lyra-12B-DARKNESS
parameters:
weight:
- filter: mlp
value: 0.35
- value: 0.25
density: 0.7
base_model: TheDrummer/UnslopNemo-12B-v4
merge_method: della_linear
dtype: bfloat16
chat_template: "chatml"
tokenizer_source: union
parameters:
normalize: true
int8_mask: true
epsilon: 0.05
lambda: 1