README.md

metadata

license: mit
library_name: transformers
tags:
  - mergekit
  - merge
  - math
  - llama3
  - physics
  - chemistry
  - biology
  - dolphin
base_model:
  - cognitivecomputations/dolphin-2.9-llama3-8b
  - Weyaxi/Einstein-v6.1-Llama3-8B
  - Locutusque/llama-3-neural-chat-v1-8b
model-index:
  - name: CosmicBun-8B
    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: 61.86
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          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: 84.29
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          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: 65.53
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          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: 54.08
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          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: 78.85
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          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: 68.23
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B
          name: Open LLM Leaderboard

model

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

Merge Method

This model was merged using the DARE TIES merge method using Locutusque/llama-3-neural-chat-v1-8b as a base.

Models Merged

The following models were included in the merge:

• cognitivecomputations/dolphin-2.9-llama3-8b
• Weyaxi/Einstein-v6.1-Llama3-8B

Configuration

The following YAML configuration was used to produce this model:

base_model: Locutusque/llama-3-neural-chat-v1-8b
dtype: bfloat16
merge_method: dare_ties
parameters:
  int8_mask: 1.0
  normalize: 0.0
slices:
- sources:
  - layer_range: [0, 4]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 1.0
      weight: 0.6
  - layer_range: [0, 4]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.6
      weight: 0.5
  - layer_range: [0, 4]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 1.0
      weight: 0.5
- sources:
  - layer_range: [4, 8]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 0.8
      weight: 0.1
  - layer_range: [4, 8]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [4, 8]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 1.0
      weight: 0.7
- sources:
  - layer_range: [8, 12]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 0.7
      weight: 0.1
  - layer_range: [8, 12]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.7
      weight: 0.2
  - layer_range: [8, 12]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 0.7
      weight: 0.6
- sources:
  - layer_range: [12, 16]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [12, 16]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.6
      weight: 0.6
  - layer_range: [12, 16]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 0.7
      weight: 0.3
- sources:
  - layer_range: [16, 20]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [16, 20]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 1.0
      weight: 0.2
  - layer_range: [16, 20]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 0.9
      weight: 0.4
- sources:
  - layer_range: [20, 24]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 0.7
      weight: 0.2
  - layer_range: [20, 24]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.9
      weight: 0.3
  - layer_range: [20, 24]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 1.0
      weight: 0.4
- sources:
  - layer_range: [24, 28]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 1.0
      weight: 0.4
  - layer_range: [24, 28]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.8
      weight: 0.2
  - layer_range: [24, 28]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 0.9
      weight: 0.4
- sources:
  - layer_range: [28, 32]
    model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      density: 1.0
      weight: 0.3
  - layer_range: [28, 32]
    model: Weyaxi/Einstein-v6.1-Llama3-8B
    parameters:
      density: 0.9
      weight: 0.2
  - layer_range: [28, 32]
    model: Locutusque/llama-3-neural-chat-v1-8b
    parameters:
      density: 1.0
      weight: 0.3

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	68.81
AI2 Reasoning Challenge (25-Shot)	61.86
HellaSwag (10-Shot)	84.29
MMLU (5-Shot)	65.53
TruthfulQA (0-shot)	54.08
Winogrande (5-shot)	78.85
GSM8k (5-shot)	68.23