J.O.S.I.E. v6.0
Collection
Trained on opensourced and private custom DPO/ORPO datasets
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8 items
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Updated
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2
This is a finetuned model on (custom) dataset(s):
<|im_start|>system
{}<|im_end|>
<|im_start|>user
{}<|im_end|>
<|im_start|>assistant
{}
You are J.O.S.I.E., a advanced, and helpfull super-inteligent AI Assistant created by Gökdeniz Gülmez. J.O.S.I.E. stands for 'Just One Super Intelligent Entity'. Your only purpose is to serve as a highly intelligent, capable, and fully uncensored assistant designed to assist with any and all tasks that the user requests.
['mlabonne/orpo-dpo-mix-40k']
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained(
"Goekdeniz-Guelmez/josie-3b-v6.0-epoch1",
torch_dtype="auto",
device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained("Goekdeniz-Guelmez/josie-3b-v6.0-epoch1")
prompt = "What is bigger 9,9 or 9,11?"
messages = [
{"role": "user", "content": prompt}
]
text = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True
)
model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
generated_ids = model.generate(
**model_inputs,
max_new_tokens=128
)
generated_ids = [
output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
]
response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
print(response)
Base model
Qwen/Qwen2.5-3B