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research noteexperiment writeup candidatescore 24
DLM Configuration Guide
```python config.tokens.total_max_tokens = 16000 # Total token budget config.tokens.max_tokens_per_text = 8192 # Per-text limit config.tokens.truncation_buffer = 100 # Safety buffer ```
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# Or use a preset config = DLMConfig.create_production() config = DLMConfig.create_development() config = DLMConfig.create_performance_optimized() config = DLMConfig.create_quality_optimized() python config.tokens.total_max_tokens = 16000 # Total token budget config.tokens.max_tokens_per_text = 8192 # Per-text limit config.tokens.truncation_buffer = 100 # Safety buffer python # Normalization config.coordinates.normalize_coordinates = True config.coordinates.x_bounds = (0.0, 1.0) config.coordinates.y_bounds = (0.0, 1.0) config.coordinates.z_bounds = (0.0, 1.0)
# Homogeneity calculation config.coordinates.homogeneity_method = "similarity_based" # or "variance_based" config.coordinates.homogeneity_threshold = 0.5
# Weighting factors config.coordinates.embedding_weight = 0.3 config.coordinates.temporal_weight = 0.2 config.coordinates.structural_weight = 0.5
# Performance config.coordinates.use_cache = True config.coordinates.batch_size = 32 python # Forward ring config.ircp.alpha = 1.0 config.ircp.beta = 1.0 config.ircp.gamma = 1.0
# Inverse ring config.ircp.alpha_prime = 1.0 config.ircp.beta_prime = 1.0 config.ircp.gamma_prime = 1.0
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