---
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen3-4B-Thinking-2507
pipeline_tag: text-generation
---
# Jan-v1: Advanced Agentic Language Model

[![GitHub](https://img.shields.io/badge/GitHub-Repository-blue?logo=github)](https://github.com/menloresearch/deep-research) 
[![License](https://img.shields.io/badge/License-Apache%202.0-yellow)](https://opensource.org/licenses/Apache-2.0)
[![Jan App](https://img.shields.io/badge/Powered%20by-Jan%20App-purple?style=flat&logo=android)](https://jan.ai/) 

<!-- Optional: If you have a GIF for Jan-v1, include it here like Lucy's. -->
<!-- ![image/gif](jan_v1_demo.gif) -->

## Overview

Introducing **Jan-v1**, the first release in the **Jan Family** – specifically designed for advanced agentic reasoning and complex problem-solving within the [Jan App](https://jan.ai/). Building on the innovative agentic capabilities of our earlier [**Lucy** ](https://huggingface.co/Menlo/Lucy) model, Jan-v1 represents a significant leap forward through strategic model scaling.

Jan-v1 leverages the newly released [Qwen3-4B-thinking](https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507) model to deliver significantly enhanced reasoning capabilities and effective tool utilizatio. This architectural evolution is designed to deliver superior performance on complex agentic tasks, setting a new benchmark for accessible, high-performance AI.

## Performance

### Question Answering (SimpleQA) 
For question-answering, Jan-v1 shows a significant performance gain from model scaling, achieving 91.2% accuracy.

![image/png](https://cdn-uploads.huggingface.co/production/uploads/65713d70f56f9538679e5a56/abEitIjvszFm7Z8mRHQz-.png)

*The 91.2% SimpleQA accuracy represents a significant milestone in factual question answering for models of this scale, demonstrating the effectiveness of our scaling and fine-tuning approach.*

### Chat Benchmarks

These benchmarks evaluate the model's conversational and instructional capabilities.

| Benchmark | JanV1 (Ours) | Qwen3-4B-Thinking-2507 | GPT-OSS-20B (High) | GPT-OSS-20B (Low) |
| :--- | :--- | :--- | :--- | :--- |
| EQBench | **83.61** | 82.61 | 78.35 | 78.35 |
| CreativeWriting | **72.08** | 65.74 | 30.23 | 26.38 |
| IFBench | **Prompt:** 0.3537<br>**Instruction:** 0.3910 | Prompt: 0.4490<br>Instruction: **0.4806** | Prompt: 0.5646<br>Instruction: 0.6000 | Prompt: 0.5034<br>Instruction: 0.5403 |
| ArenaHardv2 | **25.3** | - | - | - |

## Quick Start

### Integration with Jan App

Jan-v1 is optimized for direct integration with the Jan App. Simply select the model from the Jan App interface for immediate access to its full capabilities.

### Local Deployment

**Using vLLM:**
```bash
vllm serve Menlo/Jan-v1 \
    --host 0.0.0.0 \
    --port 1234 \
    --enable-auto-tool-choice \
    --tool-call-parser hermes
```

**Using llama.cpp:**
```bash
llama-server --model jan-v1.gguf \
    --host 0.0.0.0 \
    --port 1234
```

### Recommended Parameters

```yaml
temperature: 0.6
top_p: 0.95
top_k: 20
min_p: 0.0
max_tokens: 2048
```


## 🤝 Community & Support

- **Discussions**: [HuggingFace Community](https://huggingface.co/Menlo/Jan-v1/discussions) <!-- Update with your HF model ID -->
- **Jan App**: Learn more about the Jan App at [jan.ai](https://jan.ai/)

## 📄 Citation
```bibtex
Updated Soon
```
---