Helios-Reasoner-7B

---

1. Introduction

Helios-Reasoner-7B is our flagship open reasoning model. Through extended RLHF and a curated math/code post-training mix, it now closes much of the gap with frontier closed models on hard multi-step reasoning.

2. Evaluation Results

Comprehensive Benchmark Results

	Benchmark	Falcon-S	Mistral-Lite	Helios-v1	Helios-Reasoner-7B
Core Reasoning Tasks	Math Reasoning	0.533	0.515	0.519	0.573
	Logical Reasoning	0.808	0.781	0.830	0.838
	Common Sense	0.699	0.723	0.714	0.750
Language Understanding	Reading Comprehension	0.684	0.679	0.669	0.718
	Question Answering	0.606	0.571	0.584	0.618
	Text Classification	0.791	0.797	0.818	0.838
	Sentiment Analysis	0.767	0.774	0.755	0.800
Generation Tasks	Code Generation	0.641	0.651	0.668	0.674
	Creative Writing	0.593	0.624	0.603	0.636
	Dialogue Generation	0.617	0.613	0.632	0.660
	Summarization	0.728	0.736	0.739	0.779
Specialized Capabilities	Translation	0.780	0.764	0.783	0.811
	Knowledge Retrieval	0.637	0.677	0.661	0.688
	Instruction Following	0.755	0.751	0.719	0.770
	Safety Evaluation	0.693	0.702	0.709	0.750

Overall Performance Summary

The Helios-Reasoner-7B demonstrates strong performance across all evaluated benchmark categories, with particularly notable results in reasoning and generation tasks.

3. Chat Website & API Platform

We offer a chat interface and API for you to interact with Helios-Reasoner-7B. Please check our official website for more details.

4. How to Run Locally

Please refer to our code repository for more information about running Helios-Reasoner-7B locally.

Temperature

We recommend setting the temperature parameter to 0.6.

5. License

This repository is released under the apache-2.0 license. The model supports commercial use.

6. Contact

If you have any questions, please contact us at research@helios-labs.ai.