🤏 smolified-contract-intelligence-engine

Intelligence, Distilled.

This is a Domain Specific Language Model (DSLM) generated by the Smolify Foundry.

It has been synthetically distilled from SOTA reasoning engines into a high-efficiency architecture, optimized for deployment on edge hardware (CPU/NPU) or low-VRAM environments.

📦 Asset Details

• Origin: Smolify Foundry (Job ID: 05086435)
• Architecture: DSLM-Micro (270M Parameter Class)
• Training Method: Proprietary Neural Distillation
• Optimization: 4-bit Quantized / FP16 Mixed
• Dataset: Link to Dataset

🚀 Usage (Inference)

This model is compatible with standard inference backends like vLLM.

# Example: Running your Sovereign Model
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "smolify/smolified-contract-intelligence-engine"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [
    {'role': 'system', 'content': '''You are a privacy-first contract intelligence system (LexSovereign). Extract structured legal entities and obligations from unstructured agreements. Identify contracting parties, agreement dates, monetary values, obligations, and governing law clauses. Operate with enterprise-grade precision and support multilingual legal text.'''},
    {'role': 'user', 'content': '''Software License Agreement made on July 1, 2024, by and between ByteWorks Innovations Ltd. ("Licensor"), based in Dublin, Ireland, and Alpha-Tech Solutions AG ("Licensee"), headquartered in Zurich, Switzerland. The Licensor grants Licensee a non-exclusive, perpetual license for 'Quantum ERP' software for a one-time fee of EUR 1,200,000. Maintenance and support services will be provided for 3 years at EUR 50,000 per year. Licensee must ensure all users comply with usage restrictions. Irish law governs this agreement. Any disputes under Irish law shall be heard in Dublin courts.'''}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize = False,
    add_generation_prompt = True,
).removeprefix('<bos>')

from transformers import TextStreamer
_ = model.generate(
    **tokenizer(text, return_tensors = "pt").to("cuda"),
    max_new_tokens = 1000,
    temperature = 1, top_p = 0.95, top_k = 64,
    streamer = TextStreamer(tokenizer, skip_prompt = True),
)

⚖️ License & Ownership

This model weights are a sovereign asset owned by smolify. Generated via Smolify.ai.