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Adding Evaluation Results (#1)
Browse files- Adding Evaluation Results (fa8d3cf907044c07035c670b86781157390df33a)
Co-authored-by: Open LLM Leaderboard PR Bot <leaderboard-pr-bot@users.noreply.huggingface.co>
README.md
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---
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license: apache-2.0
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tags:
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- text-generation-inference
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- llama
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- gguf
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- Llama-3.1-8B
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datasets:
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- Lyte/Reasoner-1o1-v0.3-HQ
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language:
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- en
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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widget:
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pipeline_tag: text-generation
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---
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# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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language:
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- en
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license: apache-2.0
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tags:
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- text-generation-inference
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- llama
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- gguf
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- Llama-3.1-8B
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base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
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datasets:
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- Lyte/Reasoner-1o1-v0.3-HQ
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widget:
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- example_title: HELP its a Llama
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messages:
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- role: user
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content: There's a llama on my lawn, how can I get rid of him?
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pipeline_tag: text-generation
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model-index:
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- name: Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 70.98
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 27.84
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 14.8
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 2.68
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 4.9
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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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: 29.09
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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=Lyte/Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3
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name: Open LLM Leaderboard
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---
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# Uploaded model
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This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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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_Lyte__Llama-3.1-8B-Instruct-Reasoner-1o1_v0.3)
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| Metric |Value|
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|Avg. |25.05|
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|IFEval (0-Shot) |70.98|
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|BBH (3-Shot) |27.84|
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|MATH Lvl 5 (4-Shot)|14.80|
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|GPQA (0-shot) | 2.68|
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|MuSR (0-shot) | 4.90|
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|MMLU-PRO (5-shot) |29.09|
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