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rohit2729/smolified-the-smolify-data-generation-prompt
smolified-the-smolify-data-generation-prompt is a text generation model from rohit2729. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
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From the Hugging Face model README
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.
2f41ff46)This model is compatible with standard inference backends like vLLM.
# Example: Running your Sovereign Model
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "rohit2729/smolified-the-smolify-data-generation-prompt"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto")
messages = [
{'role': 'system', 'content': '''Generate a crypto transaction record for an Indian user attempting tax minimization by moving funds from a private wallet to a CEX, potentially via a DEX and an intermediate layering wallet.'''},
{'role': 'user', 'content': '''I need a straightforward transaction for a user moving ETH from a self-custody wallet directly to an exchange deposit address, located in India, to minimize tax liabilities. Transaction value around $15,000, timestamp in late 2025.'''}
]
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),
)
This model weights are a sovereign asset owned by rohit2729. Generated via Smolify.ai.