README.md

---
base_model:
- Qwen/Qwen2.5-7B-Instruct
library_name: transformers
tags:
- reasoning
- qwen
license: apache-2.0
language:
- en
pipeline_tag: text-generation
model-index:
- name: Qwen2.5-7B-Anvita
  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: 64.33
      name: strict accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      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: 35.48
      name: normalized accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      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: 15.86
      name: exact match
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      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: 10.29
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      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: 13.47
      name: acc_norm
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      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: 35.17
      name: accuracy
    source:
      url: >-
        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=sethuiyer/Qwen2.5-7B-Anvita
      name: Open LLM Leaderboard
---


## Evaluation Results
| **Metric**              | **Value** |
|-------------------------|--------------:|
| **Avg.**                | **29.18**      |
| **IFEval (0-Shot)**      | 64.8         |
| **BBH (3-Shot)**         | 35.48         |
| **MATH Level 5 (4-Shot)**| 15.86         |
| **GPQA (0-Shot)**        | 10.29         |
| **MuSR (0-Shot)**        | 13.47        |
| **MMLU-PRO (5-Shot)**    | 35.17        |

Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/sethuiyer/Qwen2.5-7B-Anvita/results_2024-10-27T11-40-06.834908.json).
Personal Benchmarks - check [PERSONAL_BENCHMARK.md](./PERSONAL_BENCHMARK.md)