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

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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DistilabelCerberus-7B-slerp - GGUF

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

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

  • —merge
  • —mergekit
  • —lazymergekit
  • —dvilasuero/DistilabelBeagle14-7B
  • —teknium/OpenHermes-2.5-Mistral-7B model-index:
  • —name: DistilabelCerberus-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: 68.17 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Stopwolf/DistilabelCerberus-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: 86.78 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Stopwolf/DistilabelCerberus-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: 64.2 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/DistilabelCerberus-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: 60.93 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/DistilabelCerberus-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: 79.48 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/DistilabelCerberus-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: 69.83 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Stopwolf/DistilabelCerberus-7B-slerp name: Open LLM Leaderboard ---

DistilabelCerberus-7B-slerp

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

🧩 Configuration

yaml
slices:
  - sources:
      - model: dvilasuero/DistilabelBeagle14-7B
        layer_range: [0, 32]
      - model: teknium/OpenHermes-2.5-Mistral-7B
        layer_range: [0, 32]
merge_method: slerp
base_model: teknium/OpenHermes-2.5-Mistral-7B
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

Results

ARC-CHellaswagThruthfulQAWinograndeGSM8K
OpenHermes-2.5-Mistral-7B61.2665.2252.2478.0626.08
DistilabelBeagle14-7B??71.66??
DistilabelCerberus-7B-slerp65.4469.2960.9379.4869.82

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.71.56
AI2 Reasoning Challenge (25-Shot)68.17
HellaSwag (10-Shot)86.78
MMLU (5-Shot)64.20
TruthfulQA (0-shot)60.93
Winogrande (5-shot)79.48
GSM8k (5-shot)69.83