Lattice Qwen 3 8B Private
Privacy Tier: wrapped | Parameters: 8.0B | Context: 131,072 tokens | VRAM: ~16GB
Alibaba's latest Qwen 3 — strongest multilingual model at 8B. Hybrid thinking mode with both fast and deep reasoning. 119 languages supported. Excellent base for fine-tuning on non-English sensitive data.
Privacy Guarantees
| Feature | Status |
|---|---|
| Sandboxed training (no network egress) | Yes |
| PII output guardrails | Yes |
| Encrypted training logs | Yes |
| Zero telemetry | Yes |
| DP-SGD training support | Yes |
| Privacy certificate on export | Yes |
Quick Start
pip install ltce
ltce pull lattice-ai/qwen-3-8b-private
ltce train ./your-data --model qwen-3-8b-private --epsilon 4.8 --method qlora
ltce verify ./output/adapter
from ltce import Lattice
lt = Lattice()
vault = lt.encrypt("./sensitive-data/", password="...")
result = lt.train(
model="qwen-3-8b-private",
data=vault,
epsilon=4.8,
method="qlora",
)
lt.verify(result)
What is Lattice?
Lattice is a privacy-first model training platform. The value isn't running locally (anyone can do that). The value is:
- DP-SGD training -- individual training examples can't be extracted from weights
- Signed certificates -- BLAKE3 hash + ed25519 signature proves the privacy guarantee
- Safe sharing -- publish your adapter knowing the training data is mathematically protected
Capabilities
general, reasoning, multilingual, instruct
Base Model
License
Apache 2.0
Built with Lattice -- Train private. Prove it. Share safely.
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