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---
inference: false
license: other
tags:
- llama-2
- llama2
- gptq
- auto-gptq
- 13b
- llama
- 4bit
- quantization
---
# Get Started
This model should use [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ) so you need to use `auto-gptq`
- `no-act-order` model
- 4bit model quantization
```py
from transformers import AutoTokenizer, pipeline, LlamaForCausalLM, LlamaTokenizer
from auto_gptq import AutoGPTQForCausalLM
model_id = 'seonglae/llama-2-13b-chat-hf-gptq'
tokenizer = AutoTokenizer.from_pretrained(model_id, use_fast=True)
model = AutoGPTQForCausalLM.from_quantized(
model_id,
model_basename=model_basename,
trust_remote_code=True,
device='cuda:0',
use_triton=False,
use_safetensors=True,
)
pipe = pipeline(
"text-generation",
model=model,
tokenizer=tokenizer,
temperature=0.5,
top_p=0.95,
max_new_tokens=100,
repetition_penalty=1.15,
)
prompt = "USER: Are you AI?\nASSISTANT:"
pipe(prompt)
``` |