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: 3f744d01)
Architecture: qwen-3.5-0.8b
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, and Hugging Face Transformers.

python

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

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

messages = [
    {"role": "system", "content": '''The user is a Class 9 student. Perform a multidimensional analysis across RIASEC profiles, cognitive traits, and extracurricular engagement to predict their optimal career evolution.'''},
    {"role": "user", "content": '''{"grade_band":"Class 9","examinations":{"orientation_style":{"text":"Student chose (A) 'Artist' and (A) 'Architecture of dreams'. Interested in designing smart city interiors using modular sustainable components. Loves SketchUp and Blender.","score_summary":{"dominant_category":"A"}},"interest_assessment":{"text":"Strong preference for aesthetics in daily utility tools. Obsessed with minimalist design and efficient layout management in crowded environments."}},"assessments":{"personality_assessment":{"text":"Enjoys visual storytelling. Finds peace in sketching urban layouts. Social skills: reserved but thrives in creative collaborations. Aptitude: High in Spatial visualization."},"aptitude_highlights":{"text":"Exceptional scores in spatial reasoning, block rotation, and conceptual pattern finding."}},"onboarding":{"interests":["architecture","design","sustainable-living"],"strengths":["visual-spatial","attention-to-detail","innovation"],"favoriteSubject":"Art","dreamJob":"Sustainable Architect"},"profile":{"fullName":"Meera Das","bio":"A young visionary from Kolkata sketching cities of the future.","shortTermGoal":"Learn AutoCAD foundation."}}'''}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize = False,
    add_generation_prompt = True,
)
if "qwen-3.5-0.8b" == "gemma-3-270m":
    text = text.removeprefix('<bos>')

from transformers import TextStreamer
_ = model.generate(
    **tokenizer(text, return_tensors = "pt").to(model.device),
    max_new_tokens = 1000,
    temperature = 1.0, 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.