Qwen3 8B profile
Qwen3 8B — security & risk dashboard
Known weaknesses, safety and security advisories, and documented real-world incidents for Qwen3 8B — collected automatically and re-checked every few hours, so teams building on it can see what to design around.
Last checked 16 Oct 2026
Known flaws
5
Security risks
3
Real-world incidents
0
Advisories logged
0
Security, safety & abuse risks
- Unsuitable decoding settings can produce repetitive output that consumes inference resources without completing a useful answer.
- Generated tool calls require application-side authorization and validation before they affect external systems.
- Thinking output requires deliberate separation from final answers in user-facing applications.
Known flaws & limitations
- The 131,072-token context requires YaRN configuration; native context is 32,768 tokens.
- Static YaRN can reduce performance on shorter inputs.
- Greedy decoding is discouraged because it can degrade performance and produce endless repetition.
- Thinking mode generates additional reasoning tokens, increasing output length and inference work.
- The model accepts text rather than native image, audio or video inputs.
Security advisories & risk updates
No risk advisories logged since this profile started being tracked. New ones appear here automatically.
What this means if you are building on it
- Applications requiring native image, audio or video understanding.
- High-stakes decisions without independent verification and human oversight.
- Strict low-latency workloads with unrestricted thinking enabled.
- Long-context applications expecting 131,072-token support without configuration or workload testing.
Everything here comes from published documentation, advisories and reporting, with links to the original sources. It is not a complete vulnerability database — always check the provider's own security notices before shipping.