language:
- en license: apache-2.0 library_name: transformers tags:
- lattice
- privacy
- wrapped
- medium
- general
- instruct
- uncensored base_model: OBLITERATUS/gemma-4-E4B-it-OBLITERATED
Lattice Gemma 4 E4B Uncensored
Privacy Tier: wrapped | Parameters: 8.0B | Context: 32,768 tokens | VRAM: ~16GB
Google Gemma 4 E4B with guardrails surgically removed via OBLITERATUS. 0% refusal rate, 720 tensors intact. Newest architecture with NaN activations and shared KV weights. The ideal uncensored base for private fine-tuning on sensitive domains.
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/gemma-4-e4b-uncensored
ltce train ./your-data --model gemma-4-e4b-uncensored --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="gemma-4-e4b-uncensored",
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, instruct, uncensored
Base Model
OBLITERATUS/gemma-4-E4B-it-OBLITERATED
License
Apache 2.0
Built with Lattice -- Train private. Prove it. Share safely.