// huggingface.co/lattice-ai

Ten models.
All signed.

Each model in the catalog ships with a tamper-evident certificate, BLAKE3 weight hashes, and (for Hardened) a Rényi DP accountant trace. Pull. Verify. Serve.

10
Models
6
Hardened
4
Wrapped
REGISTRY
// sort
Hardenede <= 3.8

deepseek-coder-v2-lite

// MoE · code · 338 languages

params
15.7B
format
F16
size
32 GB
blake3f9c4e7a2d8b6...58
$ltce pull lattice-ai/deepseek-coder-v2-lite
Hardenede <= 5.2

dolphin-mistral-nemo-12b

// causal LM · uncensored · reasoning

params
12.2B
format
F16
size
24 GB
blake3c1e5a8d3b7f2...49
$ltce pull lattice-ai/dolphin-mistral-nemo-12b
uncensored · reasoningcertificate &nearr;
Hardenede <= 4.8

gemma-4-e4b-uncensored

// causal LM · uncensored · gemma4

params
8.0B
format
F16
size
16 GB
blake3a8f3c7e2b4d6...91
$ltce pull lattice-ai/gemma-4-e4b-uncensored
uncensored · flagshipcertificate &nearr;
Hardenede <= 6.2

dolphin-llama-3.1-8b

// causal LM · uncensored · dolphin

params
8.0B
format
F16
size
16 GB
blake3e4b9d2a1f7c3...84
$ltce pull lattice-ai/dolphin-llama-3.1-8b
uncensored · popularcertificate &nearr;
Hardenede <= 4.8

qwen-3-8b-private

// causal LM · multilingual · hybrid

params
8.0B
format
F16
size
16 GB
blake3b2f7e9c4a8d1...37
$ltce pull lattice-ai/qwen-3-8b-private
multilingual · reasoningcertificate &nearr;
Hardenede <= 3.1

phi-4-mini-private

// SLM · reasoning · code

params
3.8B
format
F16
size
7.6 GB
blake3d6a3f1c8e5b9...72
$ltce pull lattice-ai/phi-4-mini-private
edge · reasoningcertificate &nearr;
Wrappedtier-1

qwen-2.5-coder-7b-private

// causal LM · code · 92 languages

params
7.6B
format
F16
size
15 GB
blake38e1f5b3c7d9a...26
$ltce pull lattice-ai/qwen-2.5-coder-7b-private
Wrappedtier-1

mistral-7b-private

// causal LM · instruct · general

params
7.3B
format
F16
size
14 GB
blake37d2a8e3f6c1b...44
$ltce pull lattice-ai/mistral-7b-private
Wrappedtier-1

phi-3-mini-private

// SLM · reasoning · MIT

params
3.8B
format
F16
size
7.6 GB
blake35b9c2f7e1a4d...68
$ltce pull lattice-ai/phi-3-mini-private
Wrappedtier-1

smollm2-1.7b-private

// nano LM · edge · ultra-light

params
1.7B
format
F16
size
3.4 GB
blake32e6b8a1f5c3d...77
$ltce pull lattice-ai/smollm2-1.7b-private

Bring your own weights.

Got a model already? Wrap it in the lattice runtime — encrypted at rest, sandboxed at inference, BLAKE3-signed in your registry. Native tiertrains from scratch on your private data with custom ε.

01point at your weights · ltce wrap ./my-model
02choose a tier · Wrapped, Hardened, or Native
03sign · ltce sign --blake3
04serve · ltce serve my-model
05publish to registry · optional