---
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
---

# Cyrax-7B

## 🏆 Evaluation

### Open LLM Leaderboard

|                           Model                            |Average|ARC|HellaSwag|MMLU|TruthfulQA|Winogrande|GSM8K
|------------------------------------------------------------|------:|------:|---------:|-------:|------:|------:|------:|
|[**Cyrax-7B**](https://huggingface.co/touqir/Cyrax-7B)|  **75.98**|  **72.95**|  88.19|     64.6|   **77.01**|  83.9| **69.22** |
|[Qwen-72B](https://huggingface.co/Qwen/Qwen-72B)|  73.6| 65.19|  85.94|     **77.37**|   60.19|  82.48| 70.43|  
|[Mixtral-8x7B-Instruct-v0.1-DPO](https://huggingface.co/cloudyu/Mixtral-8x7B-Instruct-v0.1-DPO)| 73.44| 69.8|  87.83|     71.05|   69.18|  81.37| 61.41| 
|[Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)|  72.7| 70.14 | 87.55|     71.4|   64.98|  81.06| 61.11 |  
|[llama2_70b_mmlu](https://huggingface.co/itsliupeng/llama2_70b_mmlu)|   68.24| 65.61| 87.37|     71.89|   49.15|  82.4| 52.99 | 
|[falcon-180B](https://huggingface.co/tiiuae/falcon-180B)| 67.85|  69.45|  **88.86**|     70.5|   45.47|  **86.9**| 45.94| 


## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "touqir/Cyrax-7B"
messages = [{"role": "user", "content": "What is Huggingface?"}]

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"])
```