---
license: llama2
language:
- en
tags:
- logic
- planning
---

![img](./strix_rufipes.png)

# Strix Rufipes 70B

# Model Details
* **Trained by**: [ibivibiv](https://huggingface.co/ibivibiv)
* **Library**: [HuggingFace Transformers](https://github.com/huggingface/transformers)
* **Model type:**  **strix-rufipes-70b** is an auto-regressive language model fine tuned on the Llama 2 transformer architecture.
* **Language(s)**: English
* **Purpose**: Has specific training for logic enforcement, will do well in ARC or other logic testing as well as critical thinking tasks.  This model is targeted towards planning exercises.

# Prompting

## Prompt Template for alpaca style

```
### Instruction:

<prompt> (without the <>)

### Response:
```

## Sample Code

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

torch.set_default_device("cuda")

model = AutoModelForCausalLM.from_pretrained("ibivibiv/strix-rufipes-70b", torch_dtype="auto", device_config='auto')
tokenizer = AutoTokenizer.from_pretrained("ibivibiv/strix-rufipes-70b")

inputs = tokenizer("### Instruction: Create a plan for developing the game of snake in python using pygame.\n### Response:\n", return_tensors="pt", return_attention_mask=False)

outputs = model.generate(**inputs, max_length=200)
text = tokenizer.batch_decode(outputs)[0]
print(text)
```


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