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.
Release status: PRODUCTION
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.
