---
language:
- en
license: apache-2.0
library_name: transformers
pipeline_tag: text-generation
model-index:
- name: Cyrax-7B
  results:
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: AI2 Reasoning Challenge (25-Shot)
      type: ai2_arc
      config: ARC-Challenge
      split: test
      args:
        num_few_shot: 25
    metrics:
    - type: acc_norm
      value: 72.95
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: HellaSwag (10-Shot)
      type: hellaswag
      split: validation
      args:
        num_few_shot: 10
    metrics:
    - type: acc_norm
      value: 88.19
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: MMLU (5-Shot)
      type: cais/mmlu
      config: all
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 64.6
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: TruthfulQA (0-shot)
      type: truthful_qa
      config: multiple_choice
      split: validation
      args:
        num_few_shot: 0
    metrics:
    - type: mc2
      value: 77.01
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: Winogrande (5-shot)
      type: winogrande
      config: winogrande_xl
      split: validation
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 83.9
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
  - task:
      type: text-generation
      name: Text Generation
    dataset:
      name: GSM8k (5-shot)
      type: gsm8k
      config: main
      split: test
      args:
        num_few_shot: 5
    metrics:
    - type: acc
      value: 69.22
      name: accuracy
    source:
      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=touqir/Cyrax-7B
      name: Open LLM Leaderboard
---

# 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"])
```
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_touqir__Cyrax-7B)

|             Metric              |Value|
|---------------------------------|----:|
|Avg.                             |75.98|
|AI2 Reasoning Challenge (25-Shot)|72.95|
|HellaSwag (10-Shot)              |88.19|
|MMLU (5-Shot)                    |64.60|
|TruthfulQA (0-shot)              |77.01|
|Winogrande (5-shot)              |83.90|
|GSM8k (5-shot)                   |69.22|