license, language, base_model, pipeline_tag
| license | language | base_model | pipeline_tag | ||
|---|---|---|---|---|---|
| apache-2.0 |
|
|
text-generation |
Jan-v1: Advanced Agentic Language Model
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. Building on the innovative agentic capabilities of our earlier Lucy model, Jan-v1 represents a significant leap forward through strategic model scaling.
Jan-v1 leverages the newly released Qwen3-4B-thinking 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.
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.
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:
vllm serve Menlo/Jan-v1 \
--host 0.0.0.0 \
--port 1234 \
--enable-auto-tool-choice \
--tool-call-parser hermes
Using llama.cpp:
llama-server --model jan-v1.gguf \
--host 0.0.0.0 \
--port 1234
Recommended Parameters
temperature: 0.6
top_p: 0.95
top_k: 20
min_p: 0.0
max_tokens: 2048
🤝 Community & Support
- Discussions: HuggingFace Community
- Jan App: Learn more about the Jan App at jan.ai
📄 Citation
Updated Soon