---
license: apache-2.0
language:
- en
tags:
- text-generation-inference
- transformers
- smolify
- dslm
pipeline_tag: text-generation
inference:
  parameters:
    temperature: 1
    top_p: 0.95
    top_k: 64
---

# 🤏 smolified-news-bias-detector

> **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: `27ffef99`)
- **Architecture:** gemma-3-270m
- **Training Method:** Proprietary Neural Distillation
- **Optimization:** 4-bit Quantized / FP16 Mixed
- **Dataset:** [Link to Dataset](https://huggingface.co/datasets/sugatobagchi/smolified-news-bias-detector)

## 🚀 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 = "sugatobagchi/smolified-news-bias-detector"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [
    {"role": "system", "content": '''You are an expert media analyst specializing in Indian and global news. Analyze the input text for political bias, emotional language, and narrative manipulation, providing consistent scores on a 1-10 scale.'''},
    {"role": "user", "content": '''The administration's bold initiative to implement universal healthcare seeks to dismantle systemic inequities that have haunted our society for decades, promising a more equitable future.'''}
]
text = tokenizer.apply_chat_template(
    messages,
    tokenize = False,
    add_generation_prompt = True,
)
if "gemma-3-270m" == "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 **sugatobagchi**.
Generated via [Smolify.ai](https://smolify.ai).

[<img src="https://smolify.ai/smolify.gif" width="100"/>](https://smolify.ai)