|
|
--- |
|
|
language: |
|
|
- en |
|
|
inference: false |
|
|
pipeline_tag: text-generation |
|
|
model-index: |
|
|
- name: WizardMath-7B-V1.1 |
|
|
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: 61.86 |
|
|
name: normalized accuracy |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
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: 84.5 |
|
|
name: normalized accuracy |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
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: 61.53 |
|
|
name: accuracy |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
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: 47.04 |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
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: 77.35 |
|
|
name: accuracy |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
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: 67.4 |
|
|
name: accuracy |
|
|
source: |
|
|
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=WizardLM/WizardMath-7B-V1.1 |
|
|
name: Open LLM Leaderboard |
|
|
--- |
|
|
|
|
|
|
|
|
## WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct (RLEIF) |
|
|
|
|
|
<p style="font-size:28px;" align="center"> |
|
|
π <a href="https://wizardlm.github.io/" target="_blank">Home Page</a> </p> |
|
|
<p align="center"> |
|
|
<p align="center"> |
|
|
π€ <a href="https://huggingface.co/WizardLM" target="_blank">HF Repo</a> β’π± <a href="https://github.com/nlpxucan/WizardLM" target="_blank">Github Repo</a> β’ π¦ <a href="https://twitter.com/WizardLM_AI" target="_blank">Twitter</a> </p> |
|
|
<p align="center"> |
|
|
π <a href="https://arxiv.org/abs/2304.12244" target="_blank">[WizardLM]</a> β’ π <a href="https://arxiv.org/abs/2306.08568" target="_blank">[WizardCoder]</a> β’ π <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a> <br> |
|
|
</p> |
|
|
<p align="center"> |
|
|
π Join our <a href="https://discord.gg/VZjjHtWrKs" target="_blank">Discord</a> |
|
|
</p> |
|
|
|
|
|
## News |
|
|
|
|
|
[12/19/2023] π₯ We released **WizardMath-7B-V1.1** trained from Mistral-7B, the **SOTA 7B math LLM**, achieves **83.2 pass@1** on GSM8k, and **33.0 pass@1** on MATH. Use this [[**Demo**](http://47.103.63.15:50083/)] to chat with it. |
|
|
|
|
|
[12/19/2023] π₯ **WizardMath-7B-V1.1** outperforms **ChatGPT 3.5**, **Gemini Pro**, **Mixtral MOE**, and **Claude Instant** on GSM8K pass@1. |
|
|
|
|
|
[12/19/2023] π₯ **WizardMath-7B-V1.1** is comparable with **ChatGPT 3.5**, **Gemini Pro**, and surpasses **Mixtral MOE** on MATH pass@1. |
|
|
|
|
|
| Model | Checkpoint | Paper | GSM8k | MATH | Demo| |
|
|
| ----- |------| ---- |------|-------|-------| |
|
|
| **WizardMath-7B-V1.1** | π€ <a href="https://huggingface.co/WizardLM/WizardMath-7B-V1.1" target="_blank">HF Link</a> | π <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **83.2** | **33.0** |[[**Demo**](http://47.103.63.15:50083/)] | |
|
|
| WizardMath-70B-V1.0 | π€ <a href="https://huggingface.co/WizardLM/WizardMath-70B-V1.0" target="_blank">HF Link</a> | π <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **81.6** | **22.7** || |
|
|
| WizardMath-13B-V1.0 | π€ <a href="https://huggingface.co/WizardLM/WizardMath-13B-V1.0" target="_blank">HF Link</a> | π <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **63.9** | **14.0** || |
|
|
| WizardMath-7B-V1.0 | π€ <a href="https://huggingface.co/WizardLM/WizardMath-7B-V1.0" target="_blank">HF Link</a> | π <a href="https://arxiv.org/abs/2308.09583" target="_blank">[WizardMath]</a>| **54.9** | **10.7** | | |
|
|
|
|
|
|
|
|
## [12/19/2023] Comparing WizardMath-7B-V1.1 with other open source 7B size math LLMs. |
|
|
|
|
|
| Model | GSM8k Pass@1 | MATH Pass@1 | |
|
|
| ----- |------| ---- | |
|
|
| MPT-7B | 6.8 | 3.0 | |
|
|
|Llama 1-7B | 11.0 | 2.9 | |
|
|
|Llama 2-7B|12.3 |2.8 | |
|
|
|Yi-6b| 32.6 |5.8 | |
|
|
|Mistral-7B|37.8 |9.1 | |
|
|
|Qwen-7b|47.8 |9.3 | |
|
|
| RFT-7B | 50.3 | -- | |
|
|
| MAmmoTH-7B (COT) | 50.5 | 10.4 | |
|
|
| WizardMath-7B-V1.0 | 54.9 | 10.7 | |
|
|
|Abel-7B-001 |59.7 |13 | |
|
|
| MetaMath-7B | 66.5 | 19.8 | |
|
|
| Arithmo-Mistral-7B | 74.7 | 25.3 | |
|
|
|MetaMath-Mistral-7B|77.7 |28.2 | |
|
|
|Abel-7B-002 | 80.4 | 29.5 | |
|
|
| **WizardMath-7B-V1.1** | **83.2** | **33.0** | |
|
|
|
|
|
|
|
|
## [12/19/2023] Comparing WizardMath-7B-V1.1 with large open source (30B~70B) LLMs. |
|
|
|
|
|
| Model | GSM8k Pass@1 | MATH Pass@1 | |
|
|
| ----- |------| ---- | |
|
|
| Llemma-34B | 51.5 | 25.0 | |
|
|
| Minerva-62B | 52.4 | 27.6 | |
|
|
| Llama 2-70B | 56.8 | 13.5 | |
|
|
| DeepSeek 67B | 63.4 | -- | |
|
|
| Gork 33B | 62.9 | 23.9 | |
|
|
| MAmmoTH-70B | 72.4 | 21.1 | |
|
|
| Yi-34B | 67.9 | 15.9 | |
|
|
| Mixtral 8x7B | 74.4 | 28.4 | |
|
|
| MetaMath-70B | 82.3 | 26.6 | |
|
|
| **WizardMath-7B-V1.1** | **83.2** | **33.0** | |
|
|
|
|
|
|
|
|
## β Data Contamination Check: |
|
|
|
|
|
Before model training, we carefully and rigorously checked all the training data, and used multiple deduplication methods to verify and prevent data leakage on GSM8k and MATH test set. |
|
|
|
|
|
π₯ |
|
|
β<b>Note for model system prompts usage:</b> |
|
|
|
|
|
Please use **the same systems prompts strictly** with us, and we do not guarantee the accuracy of the **quantified versions**. |
|
|
|
|
|
**Default version:** |
|
|
|
|
|
``` |
|
|
"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response:" |
|
|
``` |
|
|
|
|
|
|
|
|
**CoT Version:** οΌβFor the **simple** math questions, we do NOT recommend to use the CoT prompt.οΌ |
|
|
|
|
|
|
|
|
``` |
|
|
"Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n### Instruction:\n{instruction}\n\n### Response: Let's think step by step." |
|
|
``` |
|
|
|
|
|
## Inference WizardMath Demo Script |
|
|
|
|
|
We provide the WizardMath inference demo code [here](https://github.com/nlpxucan/WizardLM/tree/main/demo). |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
## Citation |
|
|
|
|
|
Please cite the repo if you use the data, method or code in this repo. |
|
|
|
|
|
``` |
|
|
@article{luo2023wizardmath, |
|
|
title={WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct}, |
|
|
author={Luo, Haipeng and Sun, Qingfeng and Xu, Can and Zhao, Pu and Lou, Jianguang and Tao, Chongyang and Geng, Xiubo and Lin, Qingwei and Chen, Shifeng and Zhang, Dongmei}, |
|
|
journal={arXiv preprint arXiv:2308.09583}, |
|
|
year={2023} |
|
|
} |
|
|
``` |
|
|
|
|
|
# [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_WizardLM__WizardMath-7B-V1.1) |
|
|
|
|
|
| Metric |Value| |
|
|
|---------------------------------|----:| |
|
|
|Avg. |66.61| |
|
|
|AI2 Reasoning Challenge (25-Shot)|61.86| |
|
|
|HellaSwag (10-Shot) |84.50| |
|
|
|MMLU (5-Shot) |61.53| |
|
|
|TruthfulQA (0-shot) |47.04| |
|
|
|Winogrande (5-shot) |77.35| |
|
|
|GSM8k (5-shot) |67.40| |
|
|
|
|
|
|
