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Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B

sourceHugging Facellama3updated 2y agoView on Hugging Face
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<img src="https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v3-8B/resolve/main/63073798_p0_master1200.jpg" style="display: block; margin: auto;">
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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

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.

MetricValue
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)ValueValueMetric(Writing Style)
UGI(Avg.)31.820.107RegV1
W/105.830.096RegV2
Unruly43.30.05MyScore
Internet209.12ASSS
Stats23.60SMOG
Writing33.81.47Yule
PolContro38.3

Secret Sauce

The following YAML configurations were used to produce this model:

Umbral-1

yaml
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

yaml
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

yaml
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

yaml
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

yaml
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

yaml
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

yaml
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

yaml
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