Merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

The goal of this merge was to make an RP model better suited for role-plays with heavy themes such as but not limited to:

Mental illness
Self-harm
Trauma
Suicide

I hated how RP models tended to be overly positive and hopeful with role-plays involving such themes, but thanks to failspy/Llama-3-8B-Instruct-MopeyMule this problem has been lessened considerably.

If you're an enjoyer of savior/reverse savior type role-plays like myself, then this model is for you.

Usage Info

This model is meant to be used with asterisks/quotes RPing formats, any other format that isn't asterisks/quotes is likely to cause issues

Quants

Merge Method

This model was merged using several Task Arithmetic merges and then tied together with a Model Stock merge, followed by another Task Arithmetic merge with a model containing psychology data.

Models Merged

The following models were included in the merge:

Sao10K/L3-8B-Stheno-v3.2
Hastagaras/Halu-8B-Llama3-Blackroot
Casual-Autopsy/Llama-3-Mopeyfied-Psychology-8B
Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
- Casual-Autopsy/Umbral-v3-1 + ResplendentAI/Theory_of_Mind_Llama3
- Casual-Autopsy/Umbral-v3-2 + ResplendentAI/Smarts_Llama3
- Casual-Autopsy/Umbral-v3-3 + ResplendentAI/RP_Format_QuoteAsterisk_Llama3

Secret Sauce

The following YAML configurations were used to produce this model:

Umbral-v3-1

slices:
- sources:
  - model: Sao10K/L3-8B-Stheno-v3.2
    layer_range: [0, 32]
    parameters:
      weight: 0.65
  - model: Casual-Autopsy/SOVL-MopeyMule-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.25
  - model: Casual-Autopsy/MopeyMule-Blackroot-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.1
merge_method: task_arithmetic
base_model: Sao10K/L3-8B-Stheno-v3.2
normalize: False
dtype: bfloat16

Umbral-v3-2

slices:
- sources:
  - model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
    layer_range: [0, 32]
    parameters:
      weight: 0.75
  - model: Casual-Autopsy/SOVL-MopeyMule-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.15
  - model: Casual-Autopsy/MopeyMule-Blackroot-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.1
merge_method: task_arithmetic
base_model: Hastagaras/Jamet-8B-L3-MK.V-Blackroot
normalize: False
dtype: bfloat16

Umbral-v3-3

slices:
- sources:
  - model: grimjim/Llama-3-Oasis-v1-OAS-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.55
  - model: Casual-Autopsy/SOVL-MopeyMule-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.35
  - model: Casual-Autopsy/MopeyMule-Blackroot-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.1
merge_method: task_arithmetic
base_model: grimjim/Llama-3-Oasis-v1-OAS-8B
normalize: False
dtype: bfloat16

L3-Umbral-Mind-RP-v0.3-8B

models:
  - model: Casual-Autopsy/Umbral-v3-1+ResplendentAI/Theory_of_Mind_Llama3
  - model: Casual-Autopsy/Umbral-v3-2+ResplendentAI/Smarts_Llama3
  - model: Casual-Autopsy/Umbral-v3-3+ResplendentAI/RP_Format_QuoteAsterisk_Llama3
merge_method: model_stock
base_model: Casual-Autopsy/Umbral-v3-1
dtype: bfloat16

L3-Umbral-Mind-RP-v1.0-8B

slices:
- sources:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
    layer_range: [0, 32]
  - model: Casual-Autopsy/Llama-3-Mopeyfied-Psychology-8B
    layer_range: [0, 32]
    parameters:
      weight: 0.14
  - model: Sao10K/L3-8B-Stheno-v3.2
    layer_range: [0, 32]
    parameters:
      weight: 0.03
  - model: Hastagaras/Halu-8B-Llama3-Blackroot
    layer_range: [0, 32]
    parameters:
      weight: 0.03
merge_method: task_arithmetic
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
dtype: bfloat16

Downloads last month: 23

Safetensors

Model size

8.03B params

Tensor type

BF16

Inference Examples

Text Generation

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.