README.md

---
license: other
license_name: qwen
license_link: LICENSE
model-index:
- name: Qwen-72B-Llama
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 64.85
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 83.27
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 73.66
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 57.6
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 81.53
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 56.25
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Qwen-72B-Llama
      name: Open LLM Leaderboard
---

# 🦙 Qwen-72B-Llama

This is the 🦙 llamafied version of [Qwen/Qwen-72B](https://huggingface.co/Qwen/Qwen-72B).

## 🛠️ Reproduction

I used [this script](https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py) to convert the weights:

[LLaMA-Factory/tests/llamafy_qwen.py](https://github.com/hiyouga/LLaMA-Factory/blob/main/tests/llamafy_qwen.py)

## 🔠 Tokenizer

After I converted the weights, I took the tokenizer from [KnutJaegersberg/Qwen-14B-Llamafied](https://huggingface.co/KnutJaegersberg/Qwen-14B-Llamafied) and uploaded it to this repository.

## 📊 Eval Scores Compared to Original Model

Here are some of the evaluation score comparisons based on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).

| Metric                | Qwen-72B      | **Qwen-72B-Llama** |
|-----------------------|---------------|--------------------|
| Avg.                  | 73.6          | **69.53**          |
| ARC (25-shot)         | 65.19         | **64.85**          |
| HellaSwag (10-shot)   | 85.94         | **83.27**          |
| MMLU (5-shot)         | 77.37         | **73.66**          |
| TruthfulQA (0-shot)   | 60.19         | **57.6**           |
| Winogrande (5-shot)   | 82.48         | **81.53**          |
| GSM8K (5-shot)        | 70.43         | **56.25**          |


![image/png](https://cdn-uploads.huggingface.co/production/uploads/6468ce47e134d050a58aa89c/hRQRMYVPc4LyavE3GaI_T.png)
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Qwen-72B-Llama)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |69.53|
|AI2 Reasoning Challenge (25-Shot)|64.85|
|HellaSwag (10-Shot)              |83.27|
|MMLU (5-Shot)                    |73.66|
|TruthfulQA (0-shot)              |57.60|
|Winogrande (5-shot)              |81.53|
|GSM8k (5-shot)                   |56.25|