Open-Weight Models · Full Transparency · Your Infrastructure
NAPH develops open-weight large language models for organizations that need to understand exactly how their AI systems work. Deploy on your infrastructure, audit every component, maintain complete data sovereignty.
Model Family
From edge deployment to frontier capabilities. Every model shares the same transparent architecture, training methodology, and permissive licensing for commercial use.
7 Billion Parameters
Optimized for on-device inference. Runs on consumer GPUs, laptops, and mobile devices with 4-bit quantization support.
70 Billion Parameters
Our workhorse model. Balances capability with practical deployment requirements for production workloads.
405 Billion Parameters
Frontier-class performance. State-of-the-art results across reasoning, analysis, and generation tasks.
34 Billion Parameters
Purpose-built for software development. Trained on curated repositories across 80+ programming languages.
Why Open-Weight
Closed-source AI means sending your most sensitive data to third-party infrastructure. For many organizations, that's simply not an option.
Run inference entirely within your own infrastructure. Customer data, proprietary documents, and trade secrets stay where they belong.
Meet GDPR, HIPAA, SOC 2, and FedRAMP requirements. Our documentation package includes everything your compliance team needs.
Access complete architecture documentation, training methodology papers, and benchmark evaluations. No black boxes.
Adapt models to your specific domain using your proprietary data. The fine-tuned weights stay on your infrastructure.
Data leaves your control. Potential exposure to logging, training, and third-party access.
Data never leaves your environment. Full control over processing, logging, and retention.
Applications
NAPH models power mission-critical AI applications across regulated industries where security, accuracy, and auditability are non-negotiable.
Extract key clauses from contracts, identify risk factors, generate summaries. Processes thousands of documents daily with 94% accuracy on clause extraction benchmarks.
NAPH-Coder handles everything from boilerplate to complex algorithms. Integrates with existing development workflows through IDE extensions and CI/CD pipelines.
Automate complex support inquiries with human-like understanding. Handles nuanced requests while seamlessly escalating edge cases to human agents.
Analyze scientific literature at scale. Identify relevant findings across millions of papers, track citation networks, generate comprehensive reviews in minutes.
from naph import NAPH
# Initialize client
client = NAPH(api_key="your-key")
# Generate completion
response = client.completions.create(
model="naph-70b",
messages=[
{"role": "user", "content": prompt}
],
max_tokens=4096,
temperature=0.7
)
print(response.choices[0].message.content)Developer Experience
OpenAI-compatible endpoints mean zero migration friction. Swap your API key and base URL—your existing code works immediately.
Compatible with OpenAI SDK, LangChain, LlamaIndex, and every major framework.
Server-sent events for real-time token streaming. Sub-50ms time to first token.
Structured tool use with JSON schema validation. Build reliable AI agents.
Get API access today or talk to our team about enterprise deployment options.