Provenance
Radium is a managed inference platform, not a model lab. We serve fine-tuned and optimized variants of open-weight and licensed models, adding reliability, speed and safety on top.What models are behind Radium?
Radium offers three model families. Here’s what we can disclose about their origins:hal-1.0
A general-purpose reasoning model optimized for coding, analysis and creative writing.- Base family: State-of-the-art open-weight or licensed model
- Fine-tuning: Custom dataset for Radium optimization
- Context window: Up to 250,000 tokens
- Key additions:
- Improved instruction following
- Reduced verbose output
clarke-1.0
A high-capability model with strong performance on reasoning, math and long-context tasks.- Base family: State-of-the-art open-weight or licensed model
- Fine-tuning: Custom dataset for Radium optimization
- Context window: Up to 1,000,000 tokens
- Key additions:
- Advanced reasoning pathways
- Better document comprehension
- Guardrail-tuned for safety without over-refusing
tycho-1.0
A fast, cost-optimized model for high-throughput applications.- Base family: State-of-the-art open-weight or licensed model
- Fine-tuning: Custom dataset for Radium optimization
- Context window: Up to 125,000 tokens
- Key additions:
- Quantized (int8) serving for improved throughput and efficiency
- Speculative decoding for reduced TTFT
- Optimized for summarization, classification and extraction
What Radium adds
Beyond the base model weights, Radium provides:Why not disclose exact base models?
Radium models are continuously updated with the latest weights, optimizations and safety patches. Pinning them to a specific public model would create confusion as improvements roll out. We commit to:- Benchmark transparency: All eval results are public and reproducible
- Behavioral disclosure: What the model can and cannot do
- Version pinning: Option to pin to a specific model version for reproducibility
Model version history
Pin to a specific version: