Lattice Mistral 7B Private
Privacy Tier: wrapped | Parameters: 7.3B | Context: 32,768 tokens | VRAM: ~14GB
Mistral 7B Instruct v0.3 with Lattice privacy layer. Excellent instruction following with zero data leakage. Apache 2.0 licensed — fully permissive for commercial use.
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
pip install ltce
ltce pull lattice-ai/mistral-7b-private
ltce serve lattice-ai/mistral-7b-private --port 8080 --sandbox
from ltce import Lattice
lt = Lattice()
lt.serve("lattice-ai/mistral-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 mistralai/Mistral-7B-Instruct-v0.3 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
general, instruct
Base Model
mistralai/Mistral-7B-Instruct-v0.3
License
Apache 2.0
Built with Lattice — privacy-first local AI.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for lattice-ai/mistral-7b-private
Base model
mistralai/Mistral-7B-v0.3 Finetuned
mistralai/Mistral-7B-Instruct-v0.3