• Model creator: https://huggingface.co/TeeZee/
• Original model: https://huggingface.co/TeeZee/DarkSapling-7B-v2.0/

Original model description:

• en license: apache-2.0 tags:
• mistral
• not-for-all-audiences
• merge pipeline_tag: text-generation inference: false model-index:
• name: DarkSapling-7B-v2.0 results:
  • task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2_arc config: ARC-Challenge split: test args: num_few_shot: 25 metrics:
    • type: acc_norm value: 64.16 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: num_few_shot: 10 metrics:
    • type: acc_norm value: 85.1 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: num_few_shot: 5 metrics:
    • type: acc value: 64.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthful_qa config: multiple_choice split: validation args: num_few_shot: 0 metrics:
    • type: mc2 value: 52.21 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winogrande_xl split: validation args: num_few_shot: 5 metrics:
    • type: acc value: 78.61 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 45.41 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/DarkSapling-7B-v2.0 name: Open LLM Leaderboard

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DarkSapling-7B-v2.0

Model Details

• A result of 4 models merge. DARE TIES method was used this time so resulting model better preserves characteristics of all included models than v1.x.
• models used for merge: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser KoboldAI/Mistral-7B-Holodeck-1 KoboldAI/Mistral-7B-Erebus-v3 cognitivecomputations/samantha-mistral-7b
• See mergekit-config.yml for details on the merge method used.

Results

• a little different than version v1.0, more romantic and empathetic.
• smarter than versions 1.0 and 1.1.
• best for one-on-one ERP.
• produces SFW nad NSFW content without issues, switches context seamlessly.
• sticks to character card
• pretty smart due to mistral, empathetic after Samantha and sometimes produces dark scenarions - Erebus.
• storytelling is satisfactory due to Holodeck
• good at following instructions

Open LLM Leaderboard Evaluation Results