Eurdem/SM_Smaug_52B

Models Merged

The following models were included in the merge:

• abacusai/Smaug-34B-v0.1

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch

model_id = "Eurdem/SM_Smaug_52B"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", load_in_4bit= True)

messages = [
    {"role": "system", "content": "You are a helpful chatbot who always responds friendly."},
    {"role": "user", "content": "where is the capital of turkey"},
]

input_ids = tokenizer.apply_chat_template(messages,  add_generation_prompt=True, return_tensors="pt").to("cuda")
outputs = model.generate(input_ids,
                          max_new_tokens=1024,
                          do_sample=True,
                          temperature=0.7,
                          top_p=0.7,
                          top_k=500
                       )
response = outputs[0][input_ids.shape[-1]:]
print(tokenizer.decode(response, skip_special_tokens=True))