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302 - Model Constraints

302 - Model Constraints

At SureLink AI, we prioritize transparency so customers can use our AI models effectively and responsibly. While SureLink AI uses a state-of-the-art open-source large language model, it has technical and functional constraints that must be understood before use in production workflows.

September 9, 2025

Functional Limitations

Accuracy & Reliability

Context & Reasoning

Domain Knowledge

Language & Bias

Technical Constraints (Subject to change based on model updates)

Model Size

120 billion parameters

Max Context Length

~4,096 tokens (≈ 3,000–3,500 words)

Input/Output Limits

Practical prompts limited to ~8k characters for reliable performance

Throughput

~15–30 tokens/second (varies by hardware & deployment)

Batch Processing

Limited parallelism—scales poorly without optimized infrastructure

Knowledge Cutoff

Model trained on data available up to its last training window, June 2024; does not self-update

Best Practices

SureLink AI equips businesses with the infrastructure and guardrails to use models responsibly, securely, and effectively.
For additional guidance on performance tuning and secure deployment, contact your SureLink AI representative at support@surelink.com.