NeuralNovel_-_Tiger-7B-v0.1-8bits

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Tiger-7B-v0.1 - bnb 8bits

• Model creator: https://huggingface.co/NeuralNovel/
• Original model: https://huggingface.co/NeuralNovel/Tiger-7B-v0.1/

Original model description:

license: apache-2.0 tags:

• mergekit
• merge datasets:
• Intel/orca_dpo_pairs
• NeuralNovel/Neural-Story-v1 base_model:
• NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
• NeuralNovel/Gecko-7B-v0.1-DPO model-index:
• name: Tiger-7b-v0.1 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: 59.98 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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: 83.21 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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: 61.42 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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: 61.03 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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: 77.66 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 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: 46.78 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeuralNovel/Tiger-7b-v0.1 name: Open LLM Leaderboard

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Tiger-7b-v0.1

This is a merge of pre-trained language models created using mergekit.

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Metrics

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
• NeuralNovel/Gecko-7B-v0.1-DPO

merge

Configuration

The following YAML configuration was used to produce this model:

slices:
  - sources:
      - model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
        layer_range: [0, 32]
      - model: NeuralNovel/Gecko-7B-v0.1-DPO
        layer_range: [0, 32]
merge_method: slerp
base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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