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ModelHub XC f24df4b1ab 初始化项目,由ModelHub XC社区提供模型
Model: Shubhankar444/smolified-ingredient-extractor
Source: Original Platform
2026-05-30 16:44:21 +08:00

2.4 KiB

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

🤏 smolified-ingredient-extractor

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: 22fdd899)
  • Architecture: gemma-3-270m
  • 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.

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

model_id = "Shubhankar444/smolified-ingredient-extractor"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")

messages = [
    {"role": "system", "content": '''Extract ingredients from the Indian recipe and return as a Python list.'''},
    {"role": "user", "content": '''Prepare Bhindi Masala by slicing okra and shallow frying in vegetable oil. Keep aside. In the same pan, saute onions and tomatoes with cumin, coriander powder, dry mango powder, and salt. Add the okra back in and toss well until the vegetables are soft. Serve with hot roti.'''}
]
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 Shubhankar444. Generated via Smolify.ai.