metadata
license: apache-2.0
language:
- en
base_model:
- Qwen/Qwen3-VL-30B-A3B-Instruct
pipeline_tag: image-text-to-text
library_name: transformers
tags:
- agent
Jan-v2-VL: Multimodal Agent for Long-Horizon Tasks
Overview
Jan-v2-VL-max-Intruct extends the Jan-v2-VL family to a 30B-parameter vision–language model focused on research capability.
Local Deployment
Jan Web
Hosted on Jan Web — use the model directly at chat.jan.ai
Local Deployment
Using vLLM: We recommend vLLM for serving and inference. All reported results were run with vLLM 0.12.0. For FP8 deployment, we used llm-compressor built from source. Please pin transformers==4.57.1 for compatibility.
# Exact versions used in our evals
pip install vllm==0.12.0
pip install transformers==4.57.1
pip install "git+https://github.com/vllm-project/llm-compressor.git@1abfd9eb34a2941e82f47cbd595f1aab90280c80"
vllm serve Menlo/Jan-v2-VL-max-Instruct-FP8 \
--host 0.0.0.0 \
--port 1234 \
-dp 1 \
--enable-auto-tool-choice \
--tool-call-parser hermes
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
repetition_penalty: 1.0
presence_penalty: 0.0
🤝 Community & Support
- Discussions: Hugging Face Community
- Jan App: Learn more about the Jan App at jan.ai
📄 Citation
Updated Soon