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---
library_name: transformers
license: mit
datasets:
- MattCoddity/dockerNLcommands
language:
- en
old_version: Bruce1489/Llama3.2-docker-command
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
<h3>I fine-tuned the "meta-llama/Llama-3.2-1B-Instruct" model using the QLoRA technique. </h3>
<h3>The resulting model can generate Docker commands based on given statements.</h3>
- **Developed by:** Bruce1489(정성훈, Bruce Jung)
- **License:** mit
- **Finetuned from model [optional]:** meta-llama/Llama-3.2-1B-Instruct
### Direct Use
```python
import torch
from transformers import pipeline
pipe = pipeline(
"text-generation",
model="Bruce1489/Llama3.2-docker-command-v2",
torch_dtype=torch.bfloat16,
device_map="auto"
)
messages = [
{"role": "system", "content": "translate this sentence in docker command"},
{"role": "user", "content": "Please show me the Docker containers that have exited and are related to the mongo image."},
]
outputs = pipe(
messages,
max_new_tokens=256,
temperature = 0.5,
top_p = 0.9,
top_k = 10,
do_sample = True,
repetition_penalty = 1.2
)
print(outputs[0]["generated_text"][-1]['content'])
```
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