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Sponsored by
APIMart
janhq / Jan-v2-VL-max-FP8
Model's Last Updated: December 22 2025
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Introduction of Jan-v2-VL-max-FP8
Model Details of Jan-v2-VL-max-FP8
Jan-v2-VL: Multimodal Agent for Long-Horizon Tasks
Overview
Jan-v2-VL-max extends the Jan-v2-VL family to a 30B-parameter vision–language model focused on long-horizon execution . This release scales model capacity and applies LoRA-based RLVR to improve stability over many steps with low error accumulation . For evaluation, we continue to use The Illusion of Diminishing Returns: Measuring Long-Horizon Execution in LLMs , which emphasizes execution length rather than knowledge recall.
Intended Use
Tasks where the plan and/or knowledge can be provided up front, and success hinges on stable, many-step execution with minimal drift:
- Agentic automation & UI control: Stepwise operation in browsers/desktop apps with screenshot grounding and tool calls via Jan Browser MCP .
Model Performance
Evaluated under FP8 inference, Jan-v2-VL-max vs. Qwen3-VL-30B-A3B-Thinking shows no regressions and small gains on several tasks, with the largest improvements in long-horizon execution . Our FP8 build maintains accuracy while reducing memory footprint and latency.
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-FP8 \
--host 0.0.0.0 \
--port 1234 \
-dp 1 \
--enable-auto-tool-choice \
--tool-call-parser hermes \
--reasoning-parser deepseek_r1
Recommended Parameters
For optimal performance in agentic and general tasks, we recommend the following inference parameters:
temperature: 1.0
top_p: 0.95
top_k: 20
repetition_penalty: 1.0
presence_penalty: 1.5
🤝 Community & Support
- Discussions : Hugging Face Community
- Jan App : Learn more about the Jan App at jan.ai
📄 Citation
Updated Soon
Runs of janhq Jan-v2-VL-max-FP8 on huggingface.co
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More Information About Jan-v2-VL-max-FP8 huggingface.co Model
Url of Jan-v2-VL-max-FP8
Jan-v2-VL-max-FP8 huggingface.co Url
Provider of Jan-v2-VL-max-FP8 huggingface.co
Other API from janhq
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