Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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base_model:
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- flemmingmiguel/MBX-7B-v3
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- paulml/NeuralOmniWestBeaglake-7B
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- FelixChao/Faraday-7B
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- paulml/NeuralOmniBeagleMBX-v3-7B
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/eDLmpTkM4vuk8HiQcUzWv.png)
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@@ -58,4 +161,17 @@ parameters:
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int8_mask: true
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dtype: float16
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-
```
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---
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language:
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- en
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license: apache-2.0
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tags:
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- mergekit
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- merge
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base_model:
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- flemmingmiguel/MBX-7B-v3
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- paulml/NeuralOmniWestBeaglake-7B
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- FelixChao/Faraday-7B
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- paulml/NeuralOmniBeagleMBX-v3-7B
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model-index:
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- name: Samlagast-7B-bf16
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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: 73.98
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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=Kquant03/Samlagast-7B-bf16
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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: 89.34
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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=Kquant03/Samlagast-7B-bf16
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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: 64.58
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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=Kquant03/Samlagast-7B-bf16
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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: 73.9
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Kquant03/Samlagast-7B-bf16
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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: 85.48
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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=Kquant03/Samlagast-7B-bf16
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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: 67.55
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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=Kquant03/Samlagast-7B-bf16
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name: Open LLM Leaderboard
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---
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![image/png](https://cdn-uploads.huggingface.co/production/uploads/6589d7e6586088fd2784a12c/eDLmpTkM4vuk8HiQcUzWv.png)
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int8_mask: true
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dtype: float16
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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_Kquant03__Samlagast-7B-bf16)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |75.81|
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|AI2 Reasoning Challenge (25-Shot)|73.98|
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|HellaSwag (10-Shot) |89.34|
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|MMLU (5-Shot) |64.58|
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|TruthfulQA (0-shot) |73.90|
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|Winogrande (5-shot) |85.48|
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|GSM8k (5-shot) |67.55|
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