初始化项目，由ModelHub XC社区提供模型
Model: AbacusResearch/jaLLAbi2-7b Source: Original Platform
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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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- FelixChao/WestSeverus-7B-DPO-v2
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- bardsai/jaskier-7b-dpo-v5.6
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- AbacusResearch/haLLAwa3
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- cognitivecomputations/WestLake-7B-v2-laser
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model-index:
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- name: jaLLAbi2-7b
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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: 71.67
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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=AbacusResearch/jaLLAbi2-7b
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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: 88.29
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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=AbacusResearch/jaLLAbi2-7b
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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: 64.92
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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=AbacusResearch/jaLLAbi2-7b
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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: 70.16
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=AbacusResearch/jaLLAbi2-7b
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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: 83.35
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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=AbacusResearch/jaLLAbi2-7b
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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: 71.95
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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=AbacusResearch/jaLLAbi2-7b
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name: Open LLM Leaderboard
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---
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# jaLLAbi2-7b
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jaLLAbi2-7b is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [FelixChao/WestSeverus-7B-DPO-v2](https://huggingface.co/FelixChao/WestSeverus-7B-DPO-v2)
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* [bardsai/jaskier-7b-dpo-v5.6](https://huggingface.co/bardsai/jaskier-7b-dpo-v5.6)
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* [AbacusResearch/haLLAwa3](https://huggingface.co/AbacusResearch/haLLAwa3)
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* [cognitivecomputations/WestLake-7B-v2-laser](https://huggingface.co/cognitivecomputations/WestLake-7B-v2-laser)
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## 🧩 Configuration
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\```yaml
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models:
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- model: eren23/ogno-monarch-jaskier-merge-7b
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# No parameters necessary for base model
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- model: FelixChao/WestSeverus-7B-DPO-v2
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#Emphasize the beginning of Vicuna format models
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parameters:
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weight: 0.2
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density: 0.59
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- model: bardsai/jaskier-7b-dpo-v5.6
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parameters:
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weight: 0.2
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density: 0.55
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# Vicuna format
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- model: AbacusResearch/haLLAwa3
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parameters:
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weight: 0.3
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density: 0.55
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- model: cognitivecomputations/WestLake-7B-v2-laser
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parameters:
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weight: 0.3
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density: 0.55
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merge_method: dare_ties
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base_model: eren23/ogno-monarch-jaskier-merge-7b
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parameters:
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int8_mask: true
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dtype: bfloat16
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random_seed: 0
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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_AbacusResearch__jaLLAbi2-7b)
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| Metric |Value|
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|---------------------------------|----:|
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|Avg. |75.06|
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|AI2 Reasoning Challenge (25-Shot)|71.67|
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|HellaSwag (10-Shot) |88.29|
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|MMLU (5-Shot) |64.92|
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|TruthfulQA (0-shot) |70.16|
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|Winogrande (5-shot) |83.35|
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|GSM8k (5-shot) |71.95|
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