Qwen 2.5 Coder 7B — purpose-built for code generation with Lattice privacy. Supports 92+ programming languages. Best code model in the catalog for single-GPU setups.

Privacy Guarantees

Feature	Status
Sandboxed inference (no network egress)	✅ Yes
PII output guardrails (email, SSN, CC, etc.)	✅ Yes
Encrypted inference logs	✅ Yes
Zero telemetry	✅ Yes
Differential privacy (DP-SGD)	❌ Wrapped only

Quick Start

bash

pip install ltce
ltce pull lattice-ai/qwen-2.5-coder-7b-private
ltce serve lattice-ai/qwen-2.5-coder-7b-private --port 8080 --sandbox

python

from ltce import Lattice

lt = Lattice()
lt.serve("lattice-ai/qwen-2.5-coder-7b-private", port=8080, sandbox=True)

The model serves an OpenAI-compatible API at http://localhost:8080/v1/chat/completions.

What Does "Wrapped" Mean?

This model uses the original Qwen/Qwen2.5-Coder-7B-Instruct weights — no additional training has been done.

What Lattice adds is the privacy serve layer:

🔒 Sandbox mode — all outbound network connections are blocked during inference
🛡️ PII guardrails — model output is scanned for emails, phone numbers, SSNs, credit card numbers, API keys
📝 Encrypted logs — inference logs are AES-256-GCM encrypted at rest
🚫 Zero telemetry — HuggingFace telemetry, W&B, MLflow all disabled

For models with mathematical privacy guarantees (DP-SGD training), see our hardened tier models.

Capabilities

code, instruct

Base Model

Qwen/Qwen2.5-Coder-7B-Instruct

License

Apache 2.0

Built with Lattice — privacy-first local AI.