Llama 2 70b Fb16 Korean

🚀 quantumaikr/llama-2-70b-fb16-korean

quantumaikr/llama-2-70b-fb16-korean is a Llama2 70B model finetuned on the Korean Dataset, designed for text generation.

🚀 Quick Start

Start chatting with quantumaikr/llama-2-70b-fb16-korean using the following code snippet:

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained("quantumaikr/llama-2-70b-fb16-korean")
model = AutoModelForCausalLM.from_pretrained("quantumaikr/llama-2-70b-fb16-korean", torch_dtype=torch.float16, device_map="auto")

system_prompt = "### System:\n귀하는 지시를 매우 잘 따르는 AI인 QuantumLM입니다. 최대한 많이 도와주세요. 안전에 유의하고 불법적인 행동은 하지 마세요.\n\n"

message = "인공지능이란 무엇인가요?"
prompt = f"{system_prompt}### User: {message}\n\n### Assistant:\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
output = model.generate(**inputs, do_sample=True, temperature=0.9, top_p=0.75, max_new_tokens=4096)

print(tokenizer.decode(output[0], skip_special_tokens=True))

💻 Usage Examples

Basic Usage

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline

tokenizer = AutoTokenizer.from_pretrained("quantumaikr/llama-2-70b-fb16-korean")
model = AutoModelForCausalLM.from_pretrained("quantumaikr/llama-2-70b-fb16-korean", torch_dtype=torch.float16, device_map="auto")

system_prompt = "### System:\n귀하는 지시를 매우 잘 따르는 AI인 QuantumLM입니다. 최대한 많이 도와주세요. 안전에 유의하고 불법적인 행동은 하지 마세요.\n\n"

message = "인공지능이란 무엇인가요?"
prompt = f"{system_prompt}### User: {message}\n\n### Assistant:\n"
inputs = tokenizer(prompt, return_tensors="pt").to("cuda")
output = model.generate(**inputs, do_sample=True, temperature=0.9, top_p=0.75, max_new_tokens=4096)

print(tokenizer.decode(output[0], skip_special_tokens=True))

Advanced Usage

QuantumLM should be used with this prompt format:

### System:
This is a system prompt, please behave and help the user.

### User:
Your prompt here

### Assistant
The output of QuantumLM

📚 Documentation

Intended Use

These models are intended for research only, in adherence with the CC BY-NC-4.0 license.

Limitations and bias

Although the aforementioned dataset helps to steer the base language models into "safer" distributions of text, not all biases and toxicity can be mitigated through fine-tuning. We ask that users be mindful of such potential issues that can arise in generated responses. Do not treat model outputs as substitutes for human judgment or as sources of truth. Please use it responsibly.

📄 License

These models are licensed under CC BY-NC-4.0.

Contact us : hi@quantumai.kr