初始化项目，由ModelHub XC社区提供模型
Model: MSL7/INEX8-7B Source: Original Platform
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ModelHub XC
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- liminerity/merge3
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- yam-peleg/Experiment26-7B
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model-index:
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- name: INEX8-7B
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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: 73.29
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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=MSL7/INEX8-7B
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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: 89.19
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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=MSL7/INEX8-7B
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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: 64.47
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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=MSL7/INEX8-7B
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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: 77.83
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MSL7/INEX8-7B
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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: 84.85
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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=MSL7/INEX8-7B
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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: 68.99
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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=MSL7/INEX8-7B
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name: Open LLM Leaderboard
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---
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MADE WITH LOVE BY LIMINERITY
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# INEX8-7B
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INEX8-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [liminerity/merge3](https://huggingface.co/liminerity/merge3)
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* [yam-peleg/Experiment26-7B](https://huggingface.co/yam-peleg/Experiment26-7B)
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## 🧩 Configuration
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```yaml
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MODEL_NAME = "merge"
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slices:
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- sources:
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- model: MSL7/INEX4-7b
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layer_range: [0, 32]
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- model: yam-peleg/Experiment24-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: MSL7/INEX4-7b
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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MODEL_NAME = "merge1"
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slices:
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- sources:
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- model: liminerity/merge
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layer_range: [0, 32]
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- model: CorticalStack/shadow-clown-7B-dare
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layer_range: [0, 32]
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merge_method: slerp
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base_model: liminerity/merge
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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MODEL_NAME = "merge2"
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slices:
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- sources:
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- model: liminerity/merge1
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layer_range: [0, 32]
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- model: bardsai/jaskier-7b-dpo-v6.1
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layer_range: [0, 32]
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merge_method: slerp
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base_model: liminerity/merge1
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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MODEL_NAME = "merge3"
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slices:
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- sources:
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- model: liminerity/merge2
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layer_range: [0, 32]
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- model: eren23/ogno-monarch-jaskier-merge-7b-OH-PREF-DPO
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layer_range: [0, 32]
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merge_method: slerp
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base_model: liminerity/merge2
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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MODEL_NAME: "INEX8-7b"
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slices:
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- sources:
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- model: liminerity/merge3
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layer_range: [0, 32]
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- model: yam-peleg/Experiment26-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: liminerity/merge3
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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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_MSL7__INEX8-7B)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |76.44|
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|AI2 Reasoning Challenge (25-Shot)|73.29|
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|HellaSwag (10-Shot) |89.19|
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|MMLU (5-Shot) |64.47|
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|TruthfulQA (0-shot) |77.83|
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|Winogrande (5-shot) |84.85|
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|GSM8k (5-shot) |68.99|
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