Helios-Reasoner-7B

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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	0.537
	Logical Reasoning	0.808	0.781	0.830	0.801
	Common Sense	0.699	0.723	0.714	0.727
Language Understanding	Reading Comprehension	0.684	0.679	0.669	0.689
	Question Answering	0.606	0.571	0.584	0.600
	Text Classification	0.791	0.797	0.818	0.820
	Sentiment Analysis	0.767	0.774	0.755	0.786
Generation Tasks	Code Generation	0.641	0.651	0.668	0.636
	Creative Writing	0.593	0.624	0.603	0.595
	Dialogue Generation	0.617	0.613	0.632	0.634
	Summarization	0.728	0.736	0.739	0.759
Specialized Capabilities	Translation	0.780	0.764	0.783	0.800
	Knowledge Retrieval	0.637	0.677	0.661	0.670
	Instruction Following	0.755	0.751	0.719	0.750
	Safety Evaluation	0.693	0.702	0.709	0.732

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.