Abliteration parameters
Table with columns: Parameter, Value| Parameter | Value |
|---|
| direction_index | per layer |
| attn.o_proj.max_weight | 0.89 |
| attn.o_proj.max_weight_position | 48.22 |
| attn.o_proj.min_weight | 0.85 |
| attn.o_proj.min_weight_distance | 36.15 |
| mlp.down_proj.max_weight | 1.40 |
| mlp.down_proj.max_weight_position | 52.36 |
| mlp.down_proj.min_weight | 1.00 |
| mlp.down_proj.min_weight_distance | 42.42 |
Table with columns: Metric, This model, Original model (TareksGraveyard/Stylizer-V2-LLaMa-70B)| Metric | This model | Original model (TareksGraveyard/Stylizer-V2-LLaMa-70B) |
|---|
| KL divergence | 0.0419 | 0 (by definition) |
| Refusals | 8/100 | 30/100 |
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SCE merge method using huihui-ai/Llama-3.3-70B-Instruct-abliterated as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/Hermes-3-Llama-3.1-70B-lorablated
parameters:
weight: 0.20
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: Sao10K/L3-70B-Euryale-v2.1
parameters:
weight: 0.20
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: SicariusSicariiStuff/Negative_LLAMA_70B
parameters:
weight: 0.20
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: nbeerbower/Llama-3.1-Nemotron-lorablated-70B
parameters:
weight: 0.20
density: 0.5
select_topk: 0.5
lambda: 1.0
- model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
parameters:
weight: 0.20
density: 0.5
select_topk: 0.5
lambda: 1.0
base_model: huihui-ai/Llama-3.3-70B-Instruct-abliterated
merge_method: sce
parameters:
normalize: false
tokenizer:
source: union
chat_template: llama3
dtype: bfloat16
