---
license: apache-2.0
---
# Gemma 2b fine-tuned for programming & data science.

![](https://raw.githubusercontent.com/kukedlc87/imagenes/main/DALL%C2%B7E%202023-12-31%2003.39.25%20-%20An%20image%20of%20a%20robot%20copywriter%20working%20in%20a%20modern%20office%20setting.%20The%20robot%20has%20a%20sleek%2C%20humanoid%20design%20with%20metallic%20surfaces%20and%20digital%20eyes%2C%20sit.png)

Dataset: MagiCoder


## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kukedlc/Gemma-2b-it-FT-Code"
messages = [{"role": "user", "content": "What is a large language model?"}]

tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    torch_dtype=torch.float16,
    device_map="auto",
)

outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```