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:

Configuration

The following YAML configuration was used to produce this model:

yaml

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

RichardErkhov/aloobun_-_CosmicBun-8B-8bits

Original model description:

model

Merge Method

Models Merged

Configuration

Open LLM Leaderboard Evaluation Results

RichardErkhov/
aloobun_-_CosmicBun-8B-8bits