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TinyExperts-v0-4x1B

Text Generation
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mixtral
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Adding Evaluation Results (#1)

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- Adding Evaluation Results (8f8fccb526a46436460411af6386e89570dac3ec)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +117 -1
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@@ -3,6 +3,109 @@ license: cc-by-nc-4.0
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  tags:
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  - merge
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  - llama
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  Some experiment with [moe merge](https://github.com/cg123/mergekit/tree/mixtral).
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@@ -21,4 +124,17 @@ Answer: the meaning of life is to ask yourself questions that make you think abo
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  ```
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- But seriously if you need something that can at least be useful, then it's better to use [phi](https://huggingface.co/models?sort=trending&search=microsoft%2Fphi).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - merge
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  - llama
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+ model-index:
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+ - name: TinyExperts-v0-4x1B
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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: 31.4
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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=beberik/TinyExperts-v0-4x1B
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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: 52.29
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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=beberik/TinyExperts-v0-4x1B
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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: 25.87
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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=beberik/TinyExperts-v0-4x1B
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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: 41.13
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=beberik/TinyExperts-v0-4x1B
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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: 60.14
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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=beberik/TinyExperts-v0-4x1B
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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: 0.53
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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=beberik/TinyExperts-v0-4x1B
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+ name: Open LLM Leaderboard
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  ---
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  Some experiment with [moe merge](https://github.com/cg123/mergekit/tree/mixtral).
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  ```
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+ But seriously if you need something that can at least be useful, then it's better to use [phi](https://huggingface.co/models?sort=trending&search=microsoft%2Fphi).
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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_beberik__TinyExperts-v0-4x1B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |35.23|
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+ |AI2 Reasoning Challenge (25-Shot)|31.40|
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+ |HellaSwag (10-Shot) |52.29|
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+ |MMLU (5-Shot) |25.87|
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+ |TruthfulQA (0-shot) |41.13|
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+ |Winogrande (5-shot) |60.14|
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+ |GSM8k (5-shot) | 0.53|
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+