README.md

metadata

language:
  - en
  - ru
license: apache-2.0
tags:
  - text-generation-inference
  - transformers
  - rqwen
  - qwen2
  - qwen2.5
  - instruct
  - chat
  - ehristoforu
  - trl
  - sft
base_model:
  - Qwen/Qwen2.5-14B-Instruct
pipeline_tag: text-generation
model-index:
  - name: RQwen-v0.1
    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: 76.25
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          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: 48.49
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          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: 2.95
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          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: 10.07
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          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: 10.44
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          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: 46.69
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=ehristoforu/RQwen-v0.1
          name: Open LLM Leaderboard

RQwen v0.1

Short info

• Developed by: ehristoforu
• Base model: Qwen/Qwen2.5-14B-Instruct
• Type model: Qwen2 Instruct (ChatML)
• Languages: English, Russian
• Features: reflection tuning, logic and deep work with context
• Trained with: Unsloth (Transformers SFT)
• License: Apache-2.0

GGUF format: coming soon...

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	32.48
IFEval (0-Shot)	76.25
BBH (3-Shot)	48.49
MATH Lvl 5 (4-Shot)	2.95
GPQA (0-shot)	10.07
MuSR (0-shot)	10.44
MMLU-PRO (5-shot)	46.69