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--- |
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license: mit |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- math |
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- llama3 |
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- physics |
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- chemistry |
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- biology |
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- dolphin |
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base_model: |
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- cognitivecomputations/dolphin-2.9-llama3-8b |
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- Weyaxi/Einstein-v6.1-Llama3-8B |
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- Locutusque/llama-3-neural-chat-v1-8b |
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model-index: |
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- name: CosmicBun-8B |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 61.86 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 84.29 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 65.53 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 54.08 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 78.85 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 68.23 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=aloobun/CosmicBun-8B |
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name: Open LLM Leaderboard |
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--- |
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# model |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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### Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [Locutusque/llama-3-neural-chat-v1-8b](https://huggingface.co/Locutusque/llama-3-neural-chat-v1-8b) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) |
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* [Weyaxi/Einstein-v6.1-Llama3-8B](https://huggingface.co/Weyaxi/Einstein-v6.1-Llama3-8B) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: Locutusque/llama-3-neural-chat-v1-8b |
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dtype: bfloat16 |
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merge_method: dare_ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 0.0 |
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slices: |
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- sources: |
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- layer_range: [0, 4] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 1.0 |
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weight: 0.6 |
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- layer_range: [0, 4] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.6 |
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weight: 0.5 |
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- layer_range: [0, 4] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 1.0 |
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weight: 0.5 |
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- sources: |
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- layer_range: [4, 8] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 0.8 |
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weight: 0.1 |
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- layer_range: [4, 8] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 1.0 |
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weight: 0.2 |
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- layer_range: [4, 8] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 1.0 |
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weight: 0.7 |
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- sources: |
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- layer_range: [8, 12] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 0.7 |
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weight: 0.1 |
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- layer_range: [8, 12] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.7 |
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weight: 0.2 |
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- layer_range: [8, 12] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 0.7 |
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weight: 0.6 |
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- sources: |
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- layer_range: [12, 16] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 0.9 |
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weight: 0.2 |
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- layer_range: [12, 16] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.6 |
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weight: 0.6 |
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- layer_range: [12, 16] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 0.7 |
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weight: 0.3 |
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- sources: |
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- layer_range: [16, 20] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 1.0 |
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weight: 0.2 |
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- layer_range: [16, 20] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 1.0 |
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weight: 0.2 |
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- layer_range: [16, 20] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 0.9 |
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weight: 0.4 |
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- sources: |
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- layer_range: [20, 24] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 0.7 |
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weight: 0.2 |
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- layer_range: [20, 24] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.9 |
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weight: 0.3 |
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- layer_range: [20, 24] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 1.0 |
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weight: 0.4 |
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- sources: |
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- layer_range: [24, 28] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 1.0 |
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weight: 0.4 |
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- layer_range: [24, 28] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.8 |
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weight: 0.2 |
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- layer_range: [24, 28] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 0.9 |
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weight: 0.4 |
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- sources: |
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- layer_range: [28, 32] |
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model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 1.0 |
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weight: 0.3 |
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- layer_range: [28, 32] |
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model: Weyaxi/Einstein-v6.1-Llama3-8B |
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parameters: |
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density: 0.9 |
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weight: 0.2 |
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- layer_range: [28, 32] |
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model: Locutusque/llama-3-neural-chat-v1-8b |
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parameters: |
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density: 1.0 |
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weight: 0.3 |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_aloobun__CosmicBun-8B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |68.81| |
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|AI2 Reasoning Challenge (25-Shot)|61.86| |
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|HellaSwag (10-Shot) |84.29| |
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|MMLU (5-Shot) |65.53| |
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|TruthfulQA (0-shot) |54.08| |
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|Winogrande (5-shot) |78.85| |
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|GSM8k (5-shot) |68.23| |
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