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

Text Generation
Transformers
Safetensors
English
llama
Merge
mergekit
lazymergekit
Not-For-All-Audiences
nsfw
rp
roleplay
role-play
conversational
text-generation-inference
Inference Endpoints
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L3-Umbral-Mind-RP-v0.3-8B / README.md
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metadata
tags:
  - merge
  - mergekit
  - lazymergekit
  - not-for-all-audiences
  - nsfw
  - rp
  - roleplay
  - role-play
license: llama3
language:
  - en
library_name: transformers
pipeline_tag: text-generation
base_model:
  - Sao10K/L3-8B-Stheno-v3.2
  - Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  - grimjim/Llama-3-Oasis-v1-OAS-8B
  - Casual-Autopsy/SOVL-MopeyMule-8B
  - Casual-Autopsy/MopeyMule-Blackroot-8B
  - ResplendentAI/Theory_of_Mind_Llama3
  - ResplendentAI/RP_Format_QuoteAsterisk_Llama3
  - ResplendentAI/Smarts_Llama3
Image by ろ47

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 bot is for you.

Compared to v1, v3 has better intelligence, fewer GPTisms, and much more human-like responses compared to before. Having MopeyMule merge with RP LoRAs also seems to have increased its effectiveness in changing the tone of RP LLMs, so feel free to use the MopeyMule mergers I made for your own merges:

Quants

Merge Method

This model was merged using several Task Arithmetic merges and then tied together with a Model Stock merge.

Models Merged

The following models were included in the merge:

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

Umbral-Mind-RP-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