---
library_name: transformers
license: gemma
---

# Model Card for Model ID

### Model Description

<!-- Provide a longer summary of what this model is. -->

This is a model with 4-bit quantization using the following code.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers import BitsAndBytesConfig
import torch

model_name = "google/gemma-2-27b" 
quantization_config = BitsAndBytesConfig(
    load_in_4bit=True,
    bnb_4bit_compute_dtype=torch.bfloat16,
    bnb_4bit_use_double_quant=True,
    bnb_4bit_quant_type="nf4"
)

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    quantization_config=quantization_config,
    device_map="auto"
)


```