genesisI-model

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_id = "qvac/genesisI-model"

tok = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype=torch.bfloat16,   # trained with BF16 mixed precision
    device_map="auto"
)

prompt = "Explain precision vs. recall in one paragraph."
inputs = tok(prompt, return_tensors="pt").to(model.device)
out = model.generate(
    **inputs,
    max_new_tokens=256,
    do_sample=True,
    top_p=0.9,
    temperature=0.7
)
print(tok.decode(out[0], skip_special_tokens=True))