AI Dev Tool: Jemalloc 540

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Preview Code

```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Template with Jemalloc and Shapelearn Integration
# ==============================================================================
# This is a production-ready developer code asset that combines the power of 
# FastAPI, Pydantic v2, Jemalloc, and Shapelearn to create a high-performance 
# micro-SaaS application.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
import jemalloc
import shapelearn
from typing import List

# Initialize the FastAPI application
app = FastAPI()

# Define a Pydantic model for the Shapelearn Qwen 3.8 27B model
class ShapelearnModel(BaseModel):
    """Shapelearn Qwen 3.8 27B model"""
    model_name: str = "Shapelearn Qwen 3.8 27B"
    model_size: str = "13.1 GB VRAM"
    model_version: str = "3.8"

# Define a Pydantic model for the AGENTS.md AI-Native SaaS Template
class AgentsModel(BaseModel):
# ... full runnable version includes tests & documentation