Open-Source Model Optimization Prompt

I'm running DeepSeek {{modelVariant}} locally with the following setup:

**Infrastructure:**
- Hardware: {{hardware}}
- Quantization: {{quantization}}
- Context length: {{contextLength}}
- Inference framework: {{inferenceFramework}}

**Problem:** {{performanceProblem}}

**Current configuration:**
{{currentConfig}}

Analyze my setup and recommend optimizations:
1. **Memory optimization** — How to reduce VRAM usage without significant quality loss
2. **Speed optimization** — Inference latency improvements
3. **Quality optimization** — Sampling parameters for my use case: {{useCase}}
4. **Configuration changes** — Specific settings to adjust with before/after expected impact

Provide exact config values I can copy-paste, not general advice.