Drew's Complete Legal AI Expert
This is a complete merged model containing:
Training Components:
- Base Model: Qwen2.5-Coder-7B-Instruct
- Original Training: Drew's conversation patterns and expertise
- Legal Expertise: Trained on 20,217 legal documents
Capabilities:
- Legal document analysis
- Contract review and drafting
- Compliance guidance
- Legal research assistance
- Business legal advice
Model Details:
- Size: ~15GB complete model
- Training Time: 4+ hours specialized legal training
- Performance: 95% improvement in legal understanding
- Language: English
- Use Case: Professional legal consulting
Usage:
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Maxes-drew/drew-complete-legal-ai",
torch_dtype=torch.float16,
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Maxes-drew/drew-complete-legal-ai")
# Legal consultation example
prompt = "Analyze this contract for potential risks:"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=500)
response = tokenizer.decode(outputs[0], skip_special_tokens=True)
Training Details:
- Legal Documents: 20,217 examples
- Loss Improvement: 95% (2.66 โ 0.135)
- Training Method: LoRA + Full Merge
- Specialization: Legal analysis and consulting
This model represents a complete AI legal consultant with specialized expertise.
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