	Quant type	File Size
Jan-v2-VL-max-Instruct-FP8_Q4_K_S	4 bits per weight	17.5 GB
Jan-v2-VL-max-Instruct-FP8_Q4_K_M	4 bits per weight	18.6 GB
Jan-v2-VL-max-Instruct-FP8_Q5_K_S	5 bits per weight	21.1 GB
Jan-v2-VL-max-Instruct-FP8_Q5_K_M	5 bits per weight	21.7 GB
Jan-v2-VL-max-Instruct-FP8_Q6_K	6 bits per weight	25.1 GB
Jan-v2-VL-max-Instruct-FP8_Q8_0	8 bits per weight	32.5 GB
Jan-v2-VL-max-Instruct-FP8_F16	16 bits per weight	61.1 GB

mmproj-Jan-v2-VL-max-Instruct-FP8

	Quant type	File Size
mmproj-Jan-v2-VL-max-Instruct-FP8_Q8_0	8 bits per weight	712 MB
mmproj-Jan-v2-VL-max-Instruct-FP8_F16	16 bits per weight	1.08 GB

Jan-v2-VL: Multimodal Agent for Long-Horizon Tasks

GitHub

Jan App

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.

bash

# 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"

bash

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:

yaml

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

cmh/Jan-v2-VL-max-Instruct-FP8-GGUF

GGUF quantization of JJan-v2-VL-max-Instruct-FP8, mmproj included.

Jan-v2-VL-max-Instruct-FP8

mmproj-Jan-v2-VL-max-Instruct-FP8

Jan-v2-VL: Multimodal Agent for Long-Horizon Tasks

Overview

Local Deployment

Jan Web

Local Deployment

Recommended Parameters

🤝 Community & Support

📄 Citation

cmh/
Jan-v2-VL-max-Instruct-FP8-GGUF