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smolify/smolified-sentinel-privacy-shield

sourceHugging Faceapache-2.0updated 6mo agoView on Hugging Face
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๐Ÿค smolified-sentinel-privacy-shield

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.

๐Ÿ“ฆ Asset Details

  • โ€”Origin: Smolify Foundry (Job ID: 41a1525a)
  • โ€”Architecture: DSLM-Micro (270M Parameter Class)
  • โ€”Training Method: Proprietary Neural Distillation
  • โ€”Optimization: 4-bit Quantized / FP16 Mixed
  • โ€”Dataset: Link to Dataset

๐Ÿš€ Usage (Inference)

This model is compatible with standard inference backends like vLLM.

python
from transformers import AutoModelForCausalLM, AutoTokenizer

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

messages = [
    {"role": "system", "content": '''You are a security-focused AI system designed to detect and sanitize sensitive information.'''},
    {"role": "user", "content": '''Hi, this is Alice Wonderland, reaching out because I need help with my account # 55432-11.'''}
]
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, streamer=TextStreamer(tokenizer, skip_prompt=True))

โš–๏ธ License & Ownership

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