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Sponsored by
PoYo.AI
janhq / Jan-v3-4B-base-instruct
Model's Last Updated: February 02 2026
text-generation
Introduction of Jan-v3-4B-base-instruct
Model Details of Jan-v3-4B-base-instruct
Jan-v3-4B-base-instruct: a 4B baseline model for fine-tuning
Overview
Jan-v3-4B-base-instruct is a 4B-parameter model obtained via post-training distillation from a larger teacher, transferring capabilities while preserving general-purpose performance on standard benchmarks. The result is a compact, ownable base that is straightforward to fine-tune, broadly applicable and minimizing the usual capacity–capability trade-offs.
Building on this base, Jan-Code , a code-tuned variant, will be released soon.
Intended Use
- A better small base for downstream work: improved instruction following out of the box, strong starting point for fine-tuning, and effective lightweight coding assistance.
Performance
Quick Start
Integration with Jan Apps
Jan-v3 demo is hosted on Jan Browser at chat.jan.ai . It is also optimized for direct integration with Jan Desktop , select the model in the app to start using it.
Local Deployment
Using vLLM:
vllm serve janhq/Jan-v3-4B-base-instruct \
--host 0.0.0.0 \
--port 1234 \
--enable-auto-tool-choice \
--tool-call-parser hermes
Using llama.cpp:
llama-server --model Jan-v3-4B-base-instruct-Q8_0.gguf \
--host 0.0.0.0 \
--port 1234 \
--jinja \
--no-context-shift
Recommended Parameters
For optimal performance in agentic and general tasks, we recommend the following inference parameters:
temperature: 0.7
top_p: 0.8
top_k: 20
🤝 Community & Support
- Discussions : Hugging Face Community
- Jan App : Learn more about the Jan App at jan.ai
📄 Citation
Updated Soon
Runs of janhq Jan-v3-4B-base-instruct on huggingface.co
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More Information About Jan-v3-4B-base-instruct huggingface.co Model
Url of Jan-v3-4B-base-instruct
Jan-v3-4B-base-instruct huggingface.co Url
Provider of Jan-v3-4B-base-instruct huggingface.co
Other API from janhq
Updated:March 24 2026
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