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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

imatrix quants by mradermacher
Static quants by mradermacher
Exl2:
- L3-Umbral-Mind-RP-v2.0-8B-8bpw-h8-exl2 by riveRiPH
- L3-Umbral-Mind-RP-v2.0-8B-6.3bpw-h8-exl2 by yours truly
- L3-Umbral-Mind-RP-v2.0-8B-5.3bpw-h6-exl2 by riveRiPH

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:

Evaluation Results

Open LLM Leaderboard

Detailed results can be found here

Explaination for AI RP newbies: IFEval is the most important evaluation for RP AIs as it determines how well it can follow OOC, Lorebooks, and most importantly character cards. The rest don't matter. At least not nearly as much as IFEval.

Metric	Value
Avg.	25.76
IFEval (0-Shot)	71.23
BBH (3-Shot)	32.49
MATH Lvl 5 (4-Shot)	10.12
GPQA (0-shot)	4.92
MuSR (0-shot)	5.55
MMLU-PRO (5-shot)	30.26

UGI Leaderboard

Information about the metrics can be found at the bottom of the UGI Leaderboard in the respective tabs.

Metric(UGI-Leaderboard)	Value	Value	Metric(Writing Style)
UGI(Avg.)	31.82	0.107	RegV1
W/10	5.83	0.096	RegV2
Unruly	43.3	0.05	MyScore
Internet	20	9.12	ASSS
Stats	23.6	0	SMOG
Writing	33.8	1.47	Yule
PolContro	38.3

Secret Sauce

The following YAML configurations were used to produce this model:

Umbral-1

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
  - model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
    parameters:
      density: 0.45
      weight: 0.4
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      density: 0.65
      weight: 0.1
merge_method: dare_ties
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
parameters:
  int8_mask: true
dtype: bfloat16

Umbral-2

models:
  - model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
  - model: tannedbum/L3-Nymeria-8B
    parameters:
      density: 0.45
      weight: 0.25
  - model: migtissera/Llama-3-8B-Synthia-v3.5
    parameters:
      density: 0.65
      weight: 0.25
merge_method: dare_ties
base_model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
parameters:
  int8_mask: true
dtype: bfloat16

Umbral-3

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
  - model: tannedbum/L3-Nymeria-Maid-8B
    parameters:
      density: 0.4
      weight: 0.3
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      density: 0.6
      weight: 0.2
merge_method: dare_ties
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
parameters:
  int8_mask: true
dtype: bfloat16

Mopey-Omelette

models:
  - model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      weight: 0.15
merge_method: task_arithmetic
base_model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B
dtype: bfloat16

Umbral-Mind-1

models:
  - model: Casual-Autopsy/Umbral-1
  - model: Casual-Autopsy/Umbral-3
merge_method: slerp
base_model: Casual-Autopsy/Umbral-1
parameters:
  t:
    - value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
  embed_slerp: true
dtype: bfloat16

Umbral-Mind-2

models:
  - model: Casual-Autopsy/Umbral-Mind-1
  - model: Casual-Autopsy/Umbral-2
merge_method: slerp
base_model: Casual-Autopsy/Umbral-Mind-1
parameters:
  t:
    - value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
  embed_slerp: true
dtype: bfloat16

Umbral-Mind-3

models:
  - model: Casual-Autopsy/Umbral-Mind-2
  - model: Casual-Autopsy/Mopey-Omelette
merge_method: slerp
base_model: Casual-Autopsy/Umbral-Mind-2
parameters:
  t:
    - value: [0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2]
  embed_slerp: true
dtype: bfloat16

L3-Umbral-Mind-RP-v2.0-8B

models:
  - model: Casual-Autopsy/Umbral-Mind-3
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
    parameters:
      weight: 0.04
  - model: aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K
    parameters:
      weight: 0.02
  - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
    parameters:
      weight: 0.02
  - model: Sao10K/L3-8B-Stheno-v3.1
    parameters:
      weight: 0.01
merge_method: task_arithmetic
base_model: Casual-Autopsy/Umbral-Mind-3
dtype: bfloat16

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Safetensors

Model size

8.03B params

Tensor type

BF16

Inference Examples

Text Generation

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