Xclbr7_-_Arcanum-12b-gguf

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Arcanum-12b - GGUF

• Model creator: https://huggingface.co/Xclbr7/
• Original model: https://huggingface.co/Xclbr7/Arcanum-12b/

Original model description:

license: mit library_name: transformers model-index:

• name: Arcanum-12b results:
  • task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics:
    • type: inst_level_strict_acc and prompt_level_strict_acc value: 29.07 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics:
    • type: acc_norm value: 31.88 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics:
    • type: exact_match value: 10.27 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics:
    • type: acc_norm value: 9.4 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics:
    • type: acc_norm value: 13.53 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard
  • task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics:
    • type: acc value: 28.74 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Xclbr7/Arcanum-12b name: Open LLM Leaderboard

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Arcanum-12b 🧙‍♂️

Arcanum-12b is a merged large language model created by combining TheDrummer/Rocinante-12B-v1.1 and MarinaraSpaghetti/NemoMix-Unleashed-12B using a novel merging technique.

Model Details 📊

• Developed by: Xclbr7
• Model type: Causal Language Model
• Language(s): English (primarily), may support other languages
• License: MIT
• Repository: https://huggingface.co/Xclbr7/Arcanum-12b

Model Architecture 🏗️

• Base model: MarinaraSpaghetti/NemoMix-Unleashed-12B
• Parameter count: ~12 billion
• Architecture specifics: Transformer-based language model

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Training & Merging 🔄

Arcanum-12b was created by merging two existing 12B models:

1. TheDrummer/Rocinante-12B-v1.1

   • Density parameters: [1, 0.8, 0.6]
   • Weight: 0.7

2. MarinaraSpaghetti/NemoMix-Unleashed-12B

   • Density parameters: [0.5, 0.7, 0.9]
   • Weight: 0.8

Merging method: Ties Additional parameters:

• Normalization: True
• Int8 mask: True
• Data type: float16

Intended Use 🎯

Conversation with different personas.

Ethical Considerations 🤔

As a merged model based on existing language models, Arcanum-12b may inherit biases and limitations from its parent models. Users should be aware of potential biases in generated content and use the model responsibly.

Acknowledgments 🙏

We acknowledge the contributions of the original model creators:

• TheDrummer for Rocinante-12B-v1.1
• MarinaraSpaghetti for NemoMix-Unleashed-12B

Their work formed the foundation for Arcanum-12b.