---
license: apache-2.0
model-index:
- name: rombos_Replete-Coder-Instruct-8b-Merged
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: IFEval (0-Shot)
      type: HuggingFaceH4/ifeval
      args:
        num_few_shot: 0
    metrics:
    - type: inst_level_strict_acc and prompt_level_strict_acc
      value: 53.88
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: BBH (3-Shot)
      type: BBH
      args:
        num_few_shot: 3
    metrics:
    - type: acc_norm
      value: 21.94
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MATH Lvl 5 (4-Shot)
      type: hendrycks/competition_math
      args:
        num_few_shot: 4
    metrics:
    - type: exact_match
      value: 7.1
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GPQA (0-shot)
      type: Idavidrein/gpqa
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 2.57
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MuSR (0-shot)
      type: TAUR-Lab/MuSR
      args:
        num_few_shot: 0
    metrics:
    - type: acc_norm
      value: 3.45
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU-PRO (5-shot)
      type: TIGER-Lab/MMLU-Pro
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 8.98
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
      name: Open LLM Leaderboard
---
This is a Ties merge between the following models:

- https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct

- https://huggingface.co/Replete-AI/Llama3-8B-Instruct-Replete-Adapted

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. 
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_rombodawg__rombos_Replete-Coder-Instruct-8b-Merged)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |16.32|
|IFEval (0-Shot)    |53.88|
|BBH (3-Shot)       |21.94|
|MATH Lvl 5 (4-Shot)| 7.10|
|GPQA (0-shot)      | 2.57|
|MuSR (0-shot)      | 3.45|
|MMLU-PRO (5-shot)  | 8.98|