openbmb / Eurus-7b-kto

huggingface.co
Total runs: 196
24-hour runs: 0
7-day runs: 34
30-day runs: 65
Model's Last Updated: April 08 2024
text-generation

Introduction of Eurus-7b-kto

Model Details of Eurus-7b-kto

Eurus: A suit of open-source LLMs optimized for reasoning

Introduction • Evaluation

Links

Introduction

Eurus-7B-KTO is KTO fine-tuned from Eurus-7B-SFT on all multi-turn trajectory pairs in UltraInteract and all pairs in UltraFeedback .

It achieves the best overall performance among open-source models of similar sizes and even outperforms specialized models in corresponding domains in many cases. Notably, Eurus-7B-KTO outperforms baselines that are 5× larger.

Usage

We apply tailored prompts for coding and math, consistent with UltraInteract data formats:

Coding

[INST] Write Python code to solve the task:
{Instruction} [/INST]

Math-CoT

[INST] Solve the following math problem step-by-step.
Simplify your answer as much as possible. Present your final answer as \\boxed{Your Answer}.
{Instruction} [/INST]

Math-PoT

[INST] Tool available:
[1] Python interpreter
When you send a message containing Python code to python, it will be executed in a stateful Jupyter notebook environment.
Solve the following math problem step-by-step.
Simplify your answer as much as possible.
{Instruction} [/INST]
Evaluation
  • Eurus, both the 7B and 70B variants, achieve the best overall performance among open-source models of similar sizes. Eurus even outperforms specialized models in corresponding domains in many cases. Notably, Eurus-7B outperforms baselines that are 5× larger, and Eurus-70B achieves better performance than GPT-3.5 Turbo.
  • Preference learning with UltraInteract can further improve performance, especially in math and the multi-turn ability. stats
Citation
@misc{yuan2024advancing,
      title={Advancing LLM Reasoning Generalists with Preference Trees}, 
      author={Lifan Yuan and Ganqu Cui and Hanbin Wang and Ning Ding and Xingyao Wang and Jia Deng and Boji Shan and Huimin Chen and Ruobing Xie and Yankai Lin and Zhenghao Liu and Bowen Zhou and Hao Peng and Zhiyuan Liu and Maosong Sun},
      year={2024},
      eprint={2404.02078},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Runs of openbmb Eurus-7b-kto on huggingface.co

196
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0
24-hour runs
-1
3-day runs
34
7-day runs
65
30-day runs

More Information About Eurus-7b-kto huggingface.co Model

More Eurus-7b-kto license Visit here:

https://choosealicense.com/licenses/apache-2.0

Eurus-7b-kto huggingface.co

Eurus-7b-kto huggingface.co is an AI model on huggingface.co that provides Eurus-7b-kto's model effect (), which can be used instantly with this openbmb Eurus-7b-kto model. huggingface.co supports a free trial of the Eurus-7b-kto model, and also provides paid use of the Eurus-7b-kto. Support call Eurus-7b-kto model through api, including Node.js, Python, http.

Eurus-7b-kto huggingface.co Url

https://huggingface.co/openbmb/Eurus-7b-kto

openbmb Eurus-7b-kto online free

Eurus-7b-kto huggingface.co is an online trial and call api platform, which integrates Eurus-7b-kto's modeling effects, including api services, and provides a free online trial of Eurus-7b-kto, you can try Eurus-7b-kto online for free by clicking the link below.

openbmb Eurus-7b-kto online free url in huggingface.co:

https://huggingface.co/openbmb/Eurus-7b-kto

Eurus-7b-kto install

Eurus-7b-kto is an open source model from GitHub that offers a free installation service, and any user can find Eurus-7b-kto on GitHub to install. At the same time, huggingface.co provides the effect of Eurus-7b-kto install, users can directly use Eurus-7b-kto installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Eurus-7b-kto install url in huggingface.co:

https://huggingface.co/openbmb/Eurus-7b-kto

Url of Eurus-7b-kto

Eurus-7b-kto huggingface.co Url

Provider of Eurus-7b-kto huggingface.co

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