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sh2orc/gemma-1.1-korean-7b-it
gemma-1.1-korean-7b-it is a machine learning model from sh2orc. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as llama3.
- Foundation Model google/gemma-1.1-7b-it - datasets - jojo0217/koreansafeconversation
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.safetensors17.1 GB · 100%
From the Hugging Face model README
from vllm import LLM, SamplingParams
from transformers import AutoTokenizer, pipeline
BASE_MODEL = "sh2orc/gemma-1.1-korean-7b-it"
llm = LLM(model=BASE_MODEL)
tokenizer = AutoTokenizer.from_pretrained(BASE_MODEL)
tokenizer.pad_token = tokenizer.eos_token
tokenizer.padding_side = 'right'
instruction = '독도에 대해서 알려줘'
messages = [
{
"role": "user",
"content": instruction
},
]
prompt_message = tokenizer.apply_chat_template(
messages,
tokenize=False,
add_generation_prompt=True,
)
eos_token_id = [tokenizer.eos_token_id, tokenizer.convert_tokens_to_ids("<end_of_turn>")]
outputs = llm.generate(prompt_message, SamplingParams(stop_token_ids=eos_token_id, temperature=0.2, top_p=0.8,max_tokens=4096))
for output in outputs:
propt = output.prompt
generated_text = output.outputs[0].text
print(generated_text)