Adding Evaluation Results
#2
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        README.md
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            base_model:
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            - OpenPipe/mistral-ft-optimized-1218
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            - mlabonne/NeuralHermes-2.5-Mistral-7B
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            ---
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            # NeuralPipe-7B-slerp
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| @@ -61,4 +164,17 @@ pipeline = transformers.pipeline( | |
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            outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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            print(outputs[0]["generated_text"])
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            -
            ```
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            base_model:
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| 10 | 
             
            - OpenPipe/mistral-ft-optimized-1218
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| 11 | 
             
            - mlabonne/NeuralHermes-2.5-Mistral-7B
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| 12 | 
            +
            model-index:
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| 13 | 
            +
            - name: NeuralPipe-7B-slerp
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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: 67.58
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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=superlazycoder/NeuralPipe-7B-slerp
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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: 86.17
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                  name: normalized accuracy
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| 45 | 
            +
                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=superlazycoder/NeuralPipe-7B-slerp
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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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| 52 | 
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                  name: MMLU (5-Shot)
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| 53 | 
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                  type: cais/mmlu
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| 54 | 
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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: 64.06
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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=superlazycoder/NeuralPipe-7B-slerp
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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: 59.84
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                source:
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                  url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=superlazycoder/NeuralPipe-7B-slerp
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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: 80.19
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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=superlazycoder/NeuralPipe-7B-slerp
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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=superlazycoder/NeuralPipe-7B-slerp
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                  name: Open LLM Leaderboard
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| 115 | 
             
            ---
         | 
| 116 |  | 
| 117 | 
             
            # NeuralPipe-7B-slerp
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| 164 |  | 
| 165 | 
             
            outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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            print(outputs[0]["generated_text"])
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| 167 | 
            +
            ```
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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_superlazycoder__NeuralPipe-7B-slerp)
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            +
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            +
            |             Metric              |Value|
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| 172 | 
            +
            |---------------------------------|----:|
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| 173 | 
            +
            |Avg.                             |71.01|
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| 174 | 
            +
            |AI2 Reasoning Challenge (25-Shot)|67.58|
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| 175 | 
            +
            |HellaSwag (10-Shot)              |86.17|
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| 176 | 
            +
            |MMLU (5-Shot)                    |64.06|
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| 177 | 
            +
            |TruthfulQA (0-shot)              |59.84|
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| 178 | 
            +
            |Winogrande (5-shot)              |80.19|
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| 179 | 
            +
            |GSM8k (5-shot)                   |68.23|
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| 180 | 
            +
             |