smolify/smolified-sentinel-privacy-shield
011
๐ค 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.
๐ฆ Asset Details
- Origin: Smolify Foundry (Job ID:
41a1525a) - Architecture: DSLM-Micro (270M Parameter Class)
- Training Method: Proprietary Neural Distillation
- Optimization: 4-bit Quantized / FP16 Mixed
- Dataset: Link to Dataset
๐ Usage (Inference)
This model is compatible with standard inference backends like vLLM.
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))โ๏ธ License & Ownership
This model weights are a sovereign asset owned by smolify. Generated via Smolify.ai.
