BaseModel
Model Generation
from transforemrs import AutoTokenizer, AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("AIdenU/SOLAR-10.7b-ko-Y24_v1.0", device_map="auto", torch_dtype=torch.float16)
tokenizer = AutoTokenizer.from_pretrained("AIdenU/SOLAR-10.7b-ko-Y24_v1.0", use_fast=True)
prompt = [
{'role': 'system', 'content': 'λΉμ μ μ§μλ₯Ό λ§€μ° μ λ°λ₯΄λ μΈκ³΅μ§λ₯ λΉμμ
λλ€.'},
{'role': 'user', 'content': 'μ§λ μ΄λ λ°μΌλ©΄ κΏννλμ?'}
]
outputs = model.generate(
**tokenizer(
tokenizer.apply_chat_template(prompt, tokenize=False, add_generation_prompt=True),
return_tensors='pt'
).to('cuda'),
max_new_tokens=256,
temperature=0.2,
top_p=1,
do_sample=True
)
print(tokenizer.decode(outputs[0]))
- Downloads last month
- 3,353
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.