Drew's Complete Legal AI Expert

This is a complete merged model containing:

Training Components:

  1. Base Model: Qwen2.5-Coder-7B-Instruct
  2. Original Training: Drew's conversation patterns and expertise
  3. 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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