metadata
language:
- en
license: other
license_name: deepseek
library_name: transformers
tags:
- lattice
- privacy
- wrapped
- large
- code
- instruct
- reasoning
base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
Lattice DeepSeek Coder V2 Lite
Privacy Tier: wrapped | Parameters: 15.7B | Context: 163,840 tokens | VRAM: ~32GB
DeepSeek Coder V2 Lite -- MoE architecture (2.4B active params from 15.7B total). Best open code model for its compute class. 338 programming languages. Fine-tune on proprietary codebases with DP guarantees.
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/deepseek-coder-v2-lite
ltce train ./your-code --model deepseek-coder-v2-lite --epsilon 4.8 --method qlora
ltce verify ./output/adapter
Base Model
deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct
Built with Lattice -- Train private. Prove it. Share safely.