---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- qwen2
- trl
base_model: unsloth/qwen2.5-14b-bnb-4bit
model-index:
- name: Qwen2.5-Math-14B-Instruct-Alpha
  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: 59.81
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      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: 47.75
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      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: 23.11
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      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: 16.0
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      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: 17.95
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      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: 48.12
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=qingy2019/Qwen2.5-Math-14B-Instruct-Alpha
      name: Open LLM Leaderboard
---

# Uploaded  model

- **Developed by:** qingy2019
- **License:** apache-2.0
- **Finetuned from model :** unsloth/qwen2.5-14b-bnb-4bit

Huge thanks to Unsloth and the Huggingface TRL library.

This model is Qwen 2.5 14B fine tuned for a full epoch on the high quality [garage-bAInd/Open-Platypus](https://huggingface.co/datasets/garage-bAInd/Open-Platypus) dataset for STEM reasoning.


| Training Detail         | Value    |
|-------------------------|----------|
| Epochs                 | 1        |
| Steps                  | 2077     |
| Loss                   | 0.4218   |
| Batch size             | 4        |
| Gradient Acc. Steps    | 3        |
| Learning Rate          | 2e-4     |
| LR Scheduler           | cosine   |
| Rank                   | 32       |
| Rank-Stabilized LoRA   | Yes      |
| Warm up steps          | 5        |
| Weight Decay           | 0.01     |
| Seed                   | 3407     |


<img src="https://raw.githubusercontent.com/qingy1337/Storage/refs/heads/main/loss.svg" height="500"/>

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

# [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_qingy2019__Qwen2.5-Math-14B-Instruct-Alpha)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |35.46|
|IFEval (0-Shot)    |59.81|
|BBH (3-Shot)       |47.75|
|MATH Lvl 5 (4-Shot)|23.11|
|GPQA (0-shot)      |16.00|
|MuSR (0-shot)      |17.95|
|MMLU-PRO (5-shot)  |48.12|