This is a merge of pre-trained language models created based on DARE using [mergekit](https://github.com/cg123/mergekit).

More descriptions of the model will be added soon.

### **Loading the Model**

Use the following Python code to load the model:

```python
import torch
from transformers import MistralForCausalLM, AutoTokenizer

model = MistralForCausalLM.from_pretrained("vanillaOVO/supermario_v4", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("vanillaOVO/supermario_v4")
```

### **Generating Text**

To generate text, use the following Python code:

```python
text = "Large language models are "
inputs = tokenizer(text, return_tensors="pt")

outputs = model.generate(**inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
```

{"license": "apache-2.0", "tags": ["mergekit", "merge"], "base_model": []}
transformers safetensors mistral text-generation mergekit merge license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us