119 lines
3.5 KiB
Markdown
119 lines
3.5 KiB
Markdown
---
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license: apache-2.0
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model-index:
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- name: rombos_Replete-Coder-Instruct-8b-Merged
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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: 53.88
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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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: 21.94
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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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: 7.1
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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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: 2.57
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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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: 3.45
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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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: 8.98
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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=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
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name: Open LLM Leaderboard
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---
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This is a Ties merge between the following models:
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- https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct
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- https://huggingface.co/Replete-AI/Llama3-8B-Instruct-Replete-Adapted
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The Coding, and Overall performance of this models seems to be better than both base models used in the merge. Benchmarks are coming in the future.
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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_rombodawg__rombos_Replete-Coder-Instruct-8b-Merged)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |16.32|
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|IFEval (0-Shot) |53.88|
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|BBH (3-Shot) |21.94|
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|MATH Lvl 5 (4-Shot)| 7.10|
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|GPQA (0-shot) | 2.57|
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|MuSR (0-shot) | 3.45|
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|MMLU-PRO (5-shot) | 8.98|
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