Pre-Trained Model Weights & Deployment Packages
Download verified model weights, cross-platform ONNX exports, and production-ready PyTorch packages for on-premise infrastructure, isolated clusters, and private cloud deployment.
PyTorch & SafeTensors
Format: .safetensors / .pt
Full precision FP16 and BF16 checkpoints designed for native PyTorch training and fine-tuning workloads.
ONNX Runtime Graph
Format: .onnx (O3 Opt)
Pre-quantized and graph-optimized execution package ready for ONNX Runtime across CPU and GPU hardware.
Private Cloud Container
Format: OCI Image / Helm
Air-gapped deployment bundle packaged with vLLM inference server, metrics exporter, and health probes.
PyTorch & SafeTensors Bundle
Full precision FP16 and BF16 checkpoints designed for native PyTorch training and fine-tuning workloads. Signed with SHA-256 integrity digest and bundled with validation test fixtures.
Verified Model Checksums
Every release archive is cryptographically signed and scanned against malicious pickle payloads.
Multi-Backend Interoperability
Target TensorRT-LLM, OpenVINO, Triton Inference Server, or direct C++ runtimes without conversion.
Air-Gapped Ready
Complete dependency manifests and offline calibration caches for regulated network perimeters.
Pre-trained Weights & Foundational Models
Explore production-ready vision transformers, diffusion pipelines, and open-weights LLMs. Instant download with benchmark metrics and verified hash sums.
Cryptographic SHA-256
Tamper-proof weight validation
High-Speed Mirrors
Unthrottled multi-region CDN
vLLM & TGI Compatible
Docker containers available
Commercial Licensure
Explicit rights for SaaS deployment