Enhanced chat template with {% generation %} tags for better tool mask handling
Added extra_special_tokens field
Improved compatibility with agentic workflows

Usage

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("JetBrains-Research/Qwen3-30B-A3B-am")
tokenizer = AutoTokenizer.from_pretrained("JetBrains-Research/Qwen3-30B-A3B-am")

# Use with function calling / agentic mode
messages = [
    {"role": "user", "content": "Your prompt here"}
]

text = tokenizer.apply_chat_template(
    messages,
    tokenize=False,
    add_generation_prompt=True
)

Original Model

This model is based on Qwen/Qwen3-30B-A3B. Please refer to the original model card for more information about capabilities and limitations.