🀏 smolified-69962e38

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.

πŸ“¦ Asset Details

  • Origin: Smolify Foundry (Job ID: 69962e38)
  • Architecture: DSLM-Micro (270M Parameter Class)
  • Training Method: Proprietary Neural Distillation
  • Optimization: 4-bit Quantized / FP16 Mixed
  • Dataset: Link to Dataset

πŸš€ 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-69962e38"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [
    {'role': 'system', 'content': '''You are a content moderator for Hinglish text. Classify input into JSON: {"classification": "SAFE" or "SPAM" or "ABUSE", "confidence": float}. The confidence must be a float between 0.0 and 1.0. Return JSON only.'''},
    {'role': 'user', 'content': '''Kaminey kuttay nikal yaha se!'''}
]
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),
)

βš–οΈ License & Ownership

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

Downloads last month
2
Safetensors
Model size
0.3B params
Tensor type
BF16
Β·
Inference Providers NEW
This model isn't deployed by any Inference Provider. πŸ™‹ Ask for provider support