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Run vLLM model: vllm serve deepseek-ai/deepseek-coder-6.7b-instruct \ —dtype float32 \ —tool-call-parser pythonic 
"""Code generation example with DeepSeek-Coder.
Run vLLM model: vllm serve deepseek-ai/deepseek-coder-6.7b-instruct \
        --dtype float32 \
        --tool-call-parser pythonic
"""

from agno.agent import Agent
from agno.models.vllm import VLLM

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(
    model=VLLM(id="deepseek-ai/deepseek-coder-6.7b-instruct"),
    description="You are an expert Python developer.",
    markdown=True,
)

agent.print_response(
    "Write a Python function that returns the nth Fibonacci number using dynamic programming."
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------

if __name__ == "__main__":
    pass

​
Run the Example

# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/90_models/vllm

# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate

python code_generation.py