Adding Evaluation Results
#1
by
leaderboard-pr-bot
- opened
README.md
CHANGED
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---
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base_model:
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- NousResearch/Hermes-3-Llama-3.1-8B
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- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
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tags:
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- merge
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- mergekit
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- lazymergekit
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- NousResearch/Hermes-3-Llama-3.1-8B
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- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
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---
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# Herplete-LLM-Llama-3.1-8b
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@@ -42,4 +137,17 @@ pipeline = transformers.pipeline(
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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---
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tags:
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- merge
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- mergekit
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- lazymergekit
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- NousResearch/Hermes-3-Llama-3.1-8B
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- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
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base_model:
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- NousResearch/Hermes-3-Llama-3.1-8B
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- Replete-AI/Replete-LLM-V2-Llama-3.1-8b
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model-index:
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- name: Replete-LLM-V3-Llama-3.1-8b
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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: 52.63
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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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: 22.9
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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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: 0.08
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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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: 2.46
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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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: 2.06
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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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: 27.44
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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=Etherll/Replete-LLM-V3-Llama-3.1-8b
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name: Open LLM Leaderboard
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---
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# Herplete-LLM-Llama-3.1-8b
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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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_Etherll__Replete-LLM-V3-Llama-3.1-8b)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |17.93|
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|IFEval (0-Shot) |52.63|
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|BBH (3-Shot) |22.90|
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|MATH Lvl 5 (4-Shot)| 0.08|
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|GPQA (0-shot) | 2.46|
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|MuSR (0-shot) | 2.06|
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|MMLU-PRO (5-shot) |27.44|
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