Jan-v1 is the first release in the
Jan Family, designed for agentic reasoning and problem-solving within the
Jan App. Based on our
Lucy model, Jan-v1 achieves improved performance through model scaling.
Jan-v1 uses the
Qwen3-4B-thinking model to provide enhanced reasoning capabilities and tool utilization. This architecture delivers better performance on complex agentic tasks.
For question-answering, Jan-v1 shows a significant performance gain from model scaling, achieving 91.1% accuracy.
These benchmarks evaluate the model's conversational and instructional capabilities.
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.
1vllm serve janhq/Jan-v1-2509 \
2 --host 0.0.0.0 \
3 --port 1234 \
4 --enable-auto-tool-choice \
5 --tool-call-parser hermes
6
1llama-server --model Jan-v1-2509-Q4_K_M.gguf \
2 --host 0.0.0.0 \
3 --port 1234 \
4 --jinja \
5 --no-context-shift
1temperature: 0.6
2top_p: 0.95
3top_k: 20
4min_p: 0.0
5max_tokens: 2048
By default we have system prompt in chat template, this is to make sure the model having the same performance with the benchmark result. You can also use the vanilla chat template without system prompt in the file
chat_template_raw.jinja.
