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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: |
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- Qwen/Qwen3-1.7B |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# Jan-v1-edge: Distilled for Edge, Built for Web Search |
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[](https://github.com/menloresearch/deep-research) |
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[](https://opensource.org/licenses/Apache-2.0) |
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[](https://jan.ai/) |
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## Overview |
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**Jan-v1-edge** is a lightweight agentic model built for fast, reliable on-device execution. As the second release in the **Jan Family**, it is distilled from the larger [`Jan-v1`](https://huggingface.co/janhq/Jan-v1-4B) model, preserving strong reasoning and problem-solving ability in a smaller footprint suitable for resource-constrained environments. |
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Jan-v1-edge was developed through a two-phase post-training process. The first phase, **Supervised Fine-Tuning (SFT)**, transferred core capabilities from the `Jan-v1` teacher model to the smaller student. The second phase, **Reinforcement Learning with Verifiable Rewards (RLVR)** —the same method used in `Jan-v1` and `Lucy`—further optimized reasoning efficiency, tool use, and correctness. This staged approach delivers reliable results on complex, interactive workloads. |
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## Performance |
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### Question Answering(SimpleQA) |
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Despite having only 1.7B parameters, **Jan-v1-edge** achieves 83% accuracy—nearly matching the larger Jan-nano-128k—demonstrating its efficiency and robustness. |
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### Chat & Instruction Following |
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Versus Qwen 3 1.7B Thinking, Jan-v1-edge shows a slight degradation on instruction-following and CreativeWriting, while remaining comparable or better on EQBench and recency QA. |
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## Quick Start |
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### Integration with Jan App |
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Jan-v1-edge is optimized for direct integration with the [Jan App](https://jan.ai/). Simply select the model from the Jan App interface for immediate access to its full capabilities. |
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### Local Deployment |
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**Using vLLM:** |
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```bash |
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vllm serve janhq/Jan-v1-edge \ |
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--host 0.0.0.0 \ |
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--port 1234 \ |
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--enable-auto-tool-choice \ |
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--tool-call-parser hermes |
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``` |
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**Using llama.cpp:** |
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```bash |
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llama-server --model Jan-v1-edge-Q8_0.gguf \ |
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--host 0.0.0.0 \ |
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--port 1234 \ |
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--jinja \ |
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--no-context-shift |
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``` |
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### Recommended Inference Parameters |
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```yaml |
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temperature: 0.6 |
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top_p: 0.95 |
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top_k: 20 |
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min_p: 0.0 |
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max_tokens: 2048 |
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``` |
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## 🤝 Community & Support |
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- **Discussions**: [HuggingFace Community](https://huggingface.co/janhq/Jan-v1-edge/discussions) |
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- **Jan App**: Discover more about the Jan App at [jan.ai](https://jan.ai/) |
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## 📄 Citation |
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```bibtex |
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Updated Soon |
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``` |
