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pip install torch transformers accelerategit clone https://github.com/bigcode-project/bigcode-evaluation-harness.gitaccelerate launch bigcode-evaluation-harness/main.py \
--model DDIDU/ETRI_CodeLLaMA_7B_CPP \
--max_length_generation 512 \
--prompt continue \
--tasks humanevalsynthesize-cpp \
--temperature 0.2 \
--n_samples 100 \
--precision bf16 \
--do_sample True \
--batch_size 10 \
--allow_code_execution \
--save_generations \from transformers import AutoTokenizer
import transformers
import torch
model = "DDIDU/ETRI_CodeLLaMA_7B_CPP"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.bfloat16,
device_map="auto",
)
sequences = pipeline(
'#include <iostream>\n#include <vector>\n\nusing namespace std;\n\nvoid quickSort(int *data, int start, int end) {',
do_sample=True,
top_k=10,
temperature=0.1,
top_p=0.95,
num_return_sequences=1,
eos_token_id=tokenizer.eos_token_id,
max_length=200,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")