Instructions to use procedure2012/Helios-Reasoner-7B-Prod with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use procedure2012/Helios-Reasoner-7B-Prod with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="procedure2012/Helios-Reasoner-7B-Prod")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("procedure2012/Helios-Reasoner-7B-Prod") model = AutoModel.from_pretrained("procedure2012/Helios-Reasoner-7B-Prod", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 2,744 Bytes
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license: apache-2.0
library_name: transformers
---
# Helios-Reasoner-7B
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<img src="figures/fig1.png" width="60%" alt="Helios-Reasoner-7B" />
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<a href="LICENSE" style="margin: 2px;">
<img alt="License" src="figures/fig2.png" style="display: inline-block; vertical-align: middle;"/>
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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.
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<img width="80%" src="figures/fig3.png">
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## 2. Evaluation Results
### Comprehensive Benchmark Results
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| | 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 |
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### 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.
## 6. Contact
If you have any questions, please contact us at research@helios-labs.ai.
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