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Adding Evaluation Results (#4)

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- Adding Evaluation Results (5542eaf16829a752c70975ae14d2dbdc1bb68002)
- model card (732470a8f56d45eece34813fd9f67ef9b243adf5)


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

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  1. README.md +114 -3
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  language:
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  - en
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- pipeline_tag: text-generation
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  tags:
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  - fireplace
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  - fireplace-2
@@ -24,8 +24,103 @@ tags:
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  - conversational
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  - chat
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  - instruct
 
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  model_type: llama
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- license: llama3.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -109,6 +204,7 @@ These are supplemental to the existing special tokens used by Llama 3.1, such as
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  The 'request' tokens are used by the user to request a specific type of structured output. They should be appended to the end of the user's message and can be alternated with normal chat responses throughout the conversation.
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  ## The Model
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  Fireplace 2 is built on top of Llama 3.1 8b Instruct.
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@@ -124,6 +220,20 @@ This version of Fireplace 2 uses data from the following datasets:
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  Additional capabilities will be added to future releases.
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
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@@ -136,4 +246,5 @@ Fireplace 2 is created by [Valiant Labs.](http://valiantlabs.ca/)
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  We care about open source.
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  For everyone to use.
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- We encourage others to finetune further from our models.
 
 
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  ---
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  language:
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  - en
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+ license: llama3.1
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  tags:
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  - fireplace
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  - fireplace-2
 
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  - conversational
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  - chat
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  - instruct
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+ pipeline_tag: text-generation
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  model_type: llama
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+ model-index:
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+ - name: Llama3.1-8B-Fireplace2
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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: 54.83
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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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: 24.07
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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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: 5.82
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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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: 5.15
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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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: 4.38
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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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: 15.63
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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=ValiantLabs/Llama3.1-8B-Fireplace2
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+ name: Open LLM Leaderboard
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  ---
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  The 'request' tokens are used by the user to request a specific type of structured output. They should be appended to the end of the user's message and can be alternated with normal chat responses throughout the conversation.
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+
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  ## The Model
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  Fireplace 2 is built on top of Llama 3.1 8b Instruct.
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  Additional capabilities will be added to future releases.
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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_ValiantLabs__Llama3.1-8B-Fireplace2)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |18.31|
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+ |IFEval (0-Shot) |54.83|
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+ |BBH (3-Shot) |24.07|
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+ |MATH Lvl 5 (4-Shot)| 5.82|
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+ |GPQA (0-shot) | 5.15|
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+ |MuSR (0-shot) | 4.38|
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+ |MMLU-PRO (5-shot) |15.63|
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+
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+
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  ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/63444f2687964b331809eb55/VCJ8Fmefd8cdVhXSSxJiD.jpeg)
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  We care about open source.
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  For everyone to use.
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+ We encourage others to finetune further from our models.
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+