Unverified50% confidenceBenchmarkExact time
In the Android Bench test, using Ollama's default 32K context caused the agent framework's compaction mechanism to move files out of memory and the task failed; after raising the context to 256K, the task's success rate doubled.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
Agentic Coding with Small Models: 100x Lower Cost, Double the Success Rate
youtubeAndroid Developers10/30/2026
Related Entities
Related Claims
VerifiedWhen memory pressure becomes too high, the Android system triggers the Low Memory Killer mechanism to forcibly terminate processes.68% similarUnverifiedmemory limiter kill is a process-level memory control mechanism introduced in Android 17 that sets an independent total memory cap for each app (including the Java heap, native heap, graphics buffers, etc.); when exceeded, it terminates the process and records the reason as REASON_MEMORY_LIMIT.65% similarUnverifiedOn a single-core 2GB machine, images should be processed serially one task at a time, avoiding parallelism, because parallelism causes two tasks to each get half the memory and both fail; serial processing is faster over the whole batch, because no tasks are killed and restarted64% similarUnverifiedThe more realistic form of on-device deployment will likely be running 30B-scale models on 32 GB of memory, combined with sparse attention and retrieval augmentation.62% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1117966API
curl https://kongchang.com/api/v1/knowledge/claims/1117966MCP
get_claim(id=1117966)