RichardErkhov/Stopwolf_-_Cerberus-7B-slerp-gguf

Quantization made by Richard Erkhov.

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Cerberus-7B-slerp - GGUF

• —Model creator: https://huggingface.co/Stopwolf/
• —Original model: https://huggingface.co/Stopwolf/Cerberus-7B-slerp/

Original model description: --- license: apache-2.0 tags:

• —merge
• —mergekit
• —lazymergekit
• —fblgit/UNA-TheBeagle-7b-v1
• —UCLA-AGI/zephyr-7b-sft-full-SPIN-iter3 model-index:
• —name: Cerberus-7B-slerp results:
• —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
• —type: accnorm value: 69.54 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
• —type: accnorm value: 87.33 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
• —type: acc value: 63.25 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
• —type: mc2 value: 61.35 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
• —type: acc value: 81.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard
• —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
• —type: acc value: 17.97 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/Cerberus-7B-slerp name: Open LLM Leaderboard ---

Cerberus-7B-slerp

Cerberus-7B-slerp is a merge of the following models using mergekit:

• —fblgit/UNA-TheBeagle-7b-v1
• —UCLA-AGI/zephyr-7b-sft-full-SPIN-iter3

🧩 Configuration

slices:
  - sources:
      - model: fblgit/UNA-TheBeagle-7b-v1
        layer_range: [0, 32]
      - model: UCLA-AGI/zephyr-7b-sft-full-SPIN-iter3
        layer_range: [0, 32]
merge_method: slerp
base_model: fblgit/UNA-TheBeagle-7b-v1
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here