---
license: mit
language:
  - en
  - hi
tags:
  - multilingual
  - instruction-tuning
  - qwen
  - efficiency
  - hindi
datasets:
  - 1024m/Qwen-2.5-14B-Hindi-Instruct-Data
model-index:
  - name: Qwen-14B-Hindi
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU Pro (5-Shot)
          type: mmlu_pro
          config: MMLU Pro
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 52.63
            name: accuracy
        source:
          url: >-
            https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/1024m/PHI-4-Hindi/results_2025-02-06T05-43-08.878637.json
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-Shot)
          type: gpqa
          config: GPQA
          split: test
          args:
            num_few_shot: 0
        metrics:
          - type: acc
            value: 36.24
            name: accuracy (normalized)
        source:
          url: >-
            https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/1024m/PHI-4-Hindi/results_2025-02-06T05-43-08.878637.json
          name: Open LLM Leaderboard 
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MuSR (0-Shot)
          type: musr
          config: MuSR
          split: test
          args:
            num_few_shot: 0
        metrics:
          - type: acc
            value: 44.84
            name: accuracy (normalized)
        source:
          url: >-
            https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/1024m/PHI-4-Hindi/results_2025-02-06T05-43-08.878637.json
          name: Open LLM Leaderboard   
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Big Bench Hard (3-Shot)
          type: bbh
          config: Big Bench Hard
          split: test
          args:
            num_few_shot: 3
        metrics:
          - type: acc
            value: 64.97
            name: accuracy (normalized)
        source:
          url: >-
            https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/1024m/PHI-4-Hindi/results_2025-02-06T05-43-08.878637.json
          name: Open LLM Leaderboard   
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Math HARD (4-Shot)
          type: math_hard
          config: Math Hard
          split: test
          args:
            num_few_shot: 4
        metrics:
          - type: acc
            value: 25.08
            name: accuracy (exact match)
        source:
          url: >-
            https://huggingface.co/datasets/open-llm-leaderboard/results/blob/main/1024m/PHI-4-Hindi/results_2025-02-06T05-43-08.878637.json
          name: Open LLM Leaderboard     
---

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