quantumaikr/llama-2-70b-fb16-korean
Model Description
quantumaikr/llama-2-70b-fb16-korean
is a Llama2 70B model finetuned the Korean Dataset
Usage
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:\nκ·νλ μ§μλ₯Ό λ§€μ° μ λ°λ₯΄λ AIμΈ QuantumLMμ
λλ€. μ΅λν λ§μ΄ λμμ£ΌμΈμ. μμ μ μ μνκ³ λΆλ²μ μΈ νλμ νμ§ λ§μΈμ.\n\n"
message = "μΈκ³΅μ§λ₯μ΄λ 무μμΈκ°μ?"
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))
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
Use and Limitations
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.
Contact us : hi@quantumai.kr
- Downloads last month
- 983
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.