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---
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language:
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- en
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license: llama3.2
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library_name: transformers
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tags:
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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- mergekit
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- merge
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- chat
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- moonride
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base_model:
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- meta-llama/Llama-3.2-3B
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- bunnycore/Llama-3.2-3B-Mix-Skill
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- bunnycore/Llama-3.2-3B-Sci-Think
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- FuseAI/FuseChat-Llama-3.2-3B-Instruct
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- theprint/ReWiz-Llama-3.2-3B
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pipeline_tag: text-generation
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model-index:
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- name: Llama-3.2-3B-Khelavaster
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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: IFEval (0-Shot)
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type: HuggingFaceH4/ifeval
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args:
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num_few_shot: 0
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metrics:
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- type: inst_level_strict_acc and prompt_level_strict_acc
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value: 49.25
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name: strict accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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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: BBH (3-Shot)
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type: BBH
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args:
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num_few_shot: 3
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metrics:
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- type: acc_norm
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value: 22.69
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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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: MATH Lvl 5 (4-Shot)
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type: hendrycks/competition_math
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args:
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num_few_shot: 4
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metrics:
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- type: exact_match
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value: 16.16
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name: exact match
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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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: GPQA (0-shot)
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type: Idavidrein/gpqa
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 3.69
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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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: MuSR (0-shot)
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type: TAUR-Lab/MuSR
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args:
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num_few_shot: 0
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metrics:
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- type: acc_norm
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value: 5.5
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name: acc_norm
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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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-PRO (5-shot)
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type: TIGER-Lab/MMLU-Pro
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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: 23.57
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name: accuracy
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source:
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=MoonRide/Llama-3.2-3B-Khelavaster
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name: Open LLM Leaderboard
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---
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<img src="https://huggingface.co/MoonRide/Llama-3.2-3B-Khelavaster/resolve/main/Khelavaster.jpg">
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# Intro
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Experimental merge of multiple Llama 3.2 3B models, guided by [MoonRide-Index-v7](https://huggingface.co/datasets/MoonRide/MoonRide-LLM-Index-v7). Created with [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [SCE](https://arxiv.org/abs/2408.07990) merge method using [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) as a base.
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### Models Merged
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The following models were included in the merge:
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* [bunnycore/Llama-3.2-3B-Sci-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Sci-Think)
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* [FuseAI/FuseChat-Llama-3.2-3B-Instruct](https://huggingface.co/FuseAI/FuseChat-Llama-3.2-3B-Instruct)
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* [theprint/ReWiz-Llama-3.2-3B](https://huggingface.co/theprint/ReWiz-Llama-3.2-3B)
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* [bunnycore/Llama-3.2-3B-Mix-Skill](https://huggingface.co/bunnycore/Llama-3.2-3B-Mix-Skill)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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models:
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- model: bunnycore/Llama-3.2-3B-Mix-Skill
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- model: bunnycore/Llama-3.2-3B-Sci-Think
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- model: FuseAI/FuseChat-Llama-3.2-3B-Instruct
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- model: theprint/ReWiz-Llama-3.2-3B
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base_model: meta-llama/Llama-3.2-3B
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tokenizer:
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source: meta-llama/Llama-3.2-3B-Instruct
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merge_method: sce
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parameters:
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normalize: true
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dtype: float32
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out_dtype: float16
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/MoonRide__Llama-3.2-3B-Khelavaster-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |20.14| |
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|IFEval (0-Shot) |49.25| |
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|BBH (3-Shot) |22.69| |
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|MATH Lvl 5 (4-Shot)|16.16| |
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|GPQA (0-shot) | 3.69| |
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|MuSR (0-shot) | 5.50| |
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|MMLU-PRO (5-shot) |23.57| |
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