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ogno-monarch-jaskier-merge-7b

Diffusers
Safetensors
English
mistral
Merge
mergekit
lazymergekit
mlabonne/Monarch-7B
paulml/OGNO-7B
bardsai/jaskier-7b-dpo-v5.6
Eval Results
Model card Files Community
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eren23 leaderboard-pr-bot commited on
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Adding Evaluation Results (#3)

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- Adding Evaluation Results (c1f616dc8792f0b682d60a0d075689fcdad59c1d)


Co-authored-by: Open LLM Leaderboard PR Bot <[email protected]>

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  1. README.md +121 -5
README.md CHANGED
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  ---
 
 
 
 
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  tags:
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  - merge
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  - mergekit
@@ -10,10 +14,109 @@ base_model:
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  - mlabonne/Monarch-7B
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  - paulml/OGNO-7B
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  - bardsai/jaskier-7b-dpo-v5.6
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- license: cc-by-nc-4.0
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- language:
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- - en
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- library_name: diffusers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # DPO Fine-tuned version
@@ -81,4 +184,17 @@ outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7,
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  print(outputs[0]["generated_text"])
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  ```
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- GGUF Version: https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-GGUF
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - en
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+ license: cc-by-nc-4.0
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+ library_name: diffusers
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  tags:
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  - merge
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  - mergekit
 
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  - mlabonne/Monarch-7B
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  - paulml/OGNO-7B
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  - bardsai/jaskier-7b-dpo-v5.6
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+ model-index:
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+ - name: ogno-monarch-jaskier-merge-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: 73.04
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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=eren23/ogno-monarch-jaskier-merge-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: 89.09
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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=eren23/ogno-monarch-jaskier-merge-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: 64.78
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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=eren23/ogno-monarch-jaskier-merge-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: 77.44
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=eren23/ogno-monarch-jaskier-merge-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: 84.77
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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=eren23/ogno-monarch-jaskier-merge-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: 69.45
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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=eren23/ogno-monarch-jaskier-merge-7b
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+ name: Open LLM Leaderboard
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  ---
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  # DPO Fine-tuned version
 
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  print(outputs[0]["generated_text"])
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  ```
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+ GGUF Version: https://huggingface.co/eren23/ogno-monarch-jaskier-merge-7b-GGUF
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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_eren23__ogno-monarch-jaskier-merge-7b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |76.43|
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+ |AI2 Reasoning Challenge (25-Shot)|73.04|
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+ |HellaSwag (10-Shot) |89.09|
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+ |MMLU (5-Shot) |64.78|
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+ |TruthfulQA (0-shot) |77.44|
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+ |Winogrande (5-shot) |84.77|
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+ |GSM8k (5-shot) |69.45|
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+