metadata
language:
- en
pipeline_tag: text-generation
base_model:
- abacusai/Smaug-34B-v0.1
library_name: transformers
tags:
- mergekit
- merge
- qwen2
license: other
Models Merged
The following models were included in the merge:
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))