⚖️ Status Law Assistant
Knowledge Base Management
Information Sources
https://status.law/tariffs-for-services-against-extradition-en | true | Ready |
Rebuild Knowledge Base: Recreates the entire knowledge base from scratch. Use this if there are inconsistencies.
All changes are saved to the Hugging Face dataset.
Knowledge Base Information
Status: Active
Documents: 161
Sources: 13
Last updated: Unknown
Model Configuration
Current Model: Zephyr 7B
Account Type: FREE Model ID: HuggingFaceH4/zephyr-7b-beta Description: A state-of-the-art 7B parameter language model Type: base
HuggingFaceH4 Zephyr 7B Beta
Capabilities:
- High performance on instruction-following tasks
- Good response accuracy
- Advanced reasoning capabilities
- Excellent text generation quality
Limitations:
- May require paid API for usage
- Limited support for languages other than English
- Less optimization for legal topics compared to specialized models
Recommended Use Cases:
- Complex legal reasoning
- Case analysis
- Legal research
- Structured legal text generation
Training Configuration
Base Model Path:
HuggingFaceH4/zephyr-7b-beta
Fine-tuned Model Path:
/tmp/status_law_kb/fine_tuned_models/zephyr-7b-beta-tuned
LoRA Configuration:
- Rank (r): 16
- Alpha: 32
- Dropout: 0.05
Model Training Interface
Epochs:
Lower = Faster training -> Higher = Model learns more thoroughly
Best for small datasets: 3-5 -> Best for large datasets: 1-2
Batch Size:
Lower = Slower but more stable -> Higher = Faster but needs more RAM
4 = Good for 16GB RAM -> 8 = Good for 32GB RAM
Learning Rate:
Lower = Learns slower but more reliable -> Higher = Learns faster but may be unstable
2e-4 (0.0002) = Usually works best -> 1e-4 = Safer choice for fine-tuning