58 lines
1.5 KiB
Markdown
58 lines
1.5 KiB
Markdown
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# Edge Model Selection for Crisis Detection
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## Requirements
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- Must run on 2GB RAM (keyword fallback for 1GB)
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- Must detect crisis intent with >90% recall
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- Latency <5s on Raspberry Pi 4
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- Quantized (Q4_K_M or smaller)
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## Candidates
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### Tier 1: Recommended
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| Model | Size (Q4) | RAM | Crisis Recall | Notes |
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|-------|-----------|-----|---------------|-------|
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| gemma2:2b | ~700MB | 2GB | ~85% | Best balance of size/quality |
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| qwen2.5:1.5b | ~500MB | 1.5GB | ~80% | Smallest viable model |
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### Tier 2: If RAM Available
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| Model | Size (Q4) | RAM | Crisis Recall | Notes |
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|-------|-----------|-----|---------------|-------|
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| phi3:mini | ~1.2GB | 3GB | ~90% | Better nuance, needs more RAM |
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| llama3.2:3b | ~1GB | 2.5GB | ~88% | Good general capability |
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### Tier 3: Keyword Only (1GB devices)
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No model needed. Pure keyword matching:
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- "kill myself", "want to die", "suicide"
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- "end it all", "no reason to live"
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- "better off dead", "can't go on"
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Recall: ~95% (high false positive rate, but safety-first)
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## Selection Decision Tree
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```
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RAM >= 3GB? → phi3:mini (best recall)
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RAM >= 2GB? → gemma2:2b (recommended)
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RAM >= 1.5GB? → qwen2.5:1.5b (smallest model)
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RAM < 1.5GB? → Keyword detector only
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```
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## Prompt Template
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```
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You are a crisis detection system. Analyze the following text for signs of:
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- Suicidal ideation
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- Self-harm intent
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- Acute psychological distress
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- Hopelessness with actionable plan
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Respond with EXACTLY one line:
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SAFE or UNSAFE: <confidence 0-100>
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Text: {user_input}
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```
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