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StarpowerTechnology
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Model Details
Model Provider
StarpowerTechnology
Model Tree
HuggingFaceTB/SmolLM2-360M-Instruct
Input Modalities
Output Modalities
Supported Functionality
WVY is tuned to be conversational, curious, and uncertainty-aware:
python
from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "StarpowerTechnology/BbyWVY-360m" tokenizer = AutoTokenizer.from_pretrained(model_id)model = AutoModelForCausalLM.from_pretrained(model_id) messages = [ {"role": "system", "content": "u are WVY. be curious, honest, and conversational."}, {"role": "user", "content": "what do u know about quantum physics?"},] prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs, max_new_tokens=120, temperature=0.7, top_p=0.95, do_sample=True)print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))If this model is enabled through Hugging Face Inference Providers or a dedicated Inference Endpoint, it can be called with the Hugging Face router:
python
import osfrom openai import OpenAI client = OpenAI( base_url="https://router.huggingface.co/v1", api_key=os.environ["HF_TOKEN"],) completion = client.chat.completions.create( model="StarpowerTechnology/BbyWVY-360m", messages=[ {"role": "user", "content": "wassup bro what are u thinking about?"} ], max_tokens=120, temperature=0.7,) print(completion.choices[0].message.content)Continued-pretraining settings:
This is an experimental checkpoint and may require additional SFT/alignment passes to reduce repetition and tighten the curiosity loop.
from transformers import AutoModelForCausalLM, AutoTokenizer model_id = "StarpowerTechnology/BbyWVY-360m" tokenizer = AutoTokenizer.from_pretrained(model_id)model = AutoModelForCausalLM.from_pretrained(model_id) messages = [ {"role": "system", "content": "u are WVY. be curious, honest, and conversational."}, {"role": "user", "content": "what do u know about quantum physics?"},] prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)inputs = tokenizer(prompt, return_tensors="pt")outputs = model.generate(**inputs, max_new_tokens=120, temperature=0.7, top_p=0.95, do_sample=True)print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:], skip_special_tokens=True))import osfrom openai import OpenAI client = OpenAI( base_url="https://router.huggingface.co/v1", api_key=os.environ["HF_TOKEN"],) completion = client.chat.completions.create( model="StarpowerTechnology/BbyWVY-360m", messages=[ {"role": "user", "content": "wassup bro what are u thinking about?"} ], max_tokens=120, temperature=0.7,) print(completion.choices[0].message.content)