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LLaMa-3.2-Instruct-JankMixBread-v0.1-3B

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Adding Evaluation Results (#1)

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- Adding Evaluation Results (b3fac87f1c2f23e1f4fae23355abe7b863d42cdb)


Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>

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  1. README.md +114 -6
README.md CHANGED
@@ -1,13 +1,108 @@
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  ---
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- base_model:
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- - meta-llama/Llama-3.2-3B
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- - meta-llama/Llama-3.2-3B-Instruct
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- - PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
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  library_name: transformers
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  tags:
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  - mergekit
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  - merge
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- license: llama3.2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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@@ -47,4 +142,17 @@ models:
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  density: 0.9
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  gamma: 0.01
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ license: llama3.2
 
 
 
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  library_name: transformers
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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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+ - meta-llama/Llama-3.2-3B
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+ - meta-llama/Llama-3.2-3B-Instruct
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+ - PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
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+ model-index:
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+ - name: LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 50.41
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 22.76
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 10.73
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 4.36
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 4.68
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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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: 23.15
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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=PJMixers-Dev/LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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+ name: Open LLM Leaderboard
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  ---
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  # LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
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  density: 0.9
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  gamma: 0.01
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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/details_PJMixers-Dev__LLaMa-3.2-Instruct-JankMixBread-v0.1-3B)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |19.35|
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+ |IFEval (0-Shot) |50.41|
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+ |BBH (3-Shot) |22.76|
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+ |MATH Lvl 5 (4-Shot)|10.73|
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+ |GPQA (0-shot) | 4.36|
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+ |MuSR (0-shot) | 4.68|
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+ |MMLU-PRO (5-shot) |23.15|
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+