license, language, library_name, pipeline_tag

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

Cyrax-7B

🏆 Evaluation

Open LLM Leaderboard

Model	Average	ARC	HellaSwag	MMLU	TruthfulQA	Winogrande	GSM8K
Cyrax-7B	75.98	72.95	88.19	64.6	77.01	83.9	69.22
Qwen-72B	73.6	65.19	85.94	77.37	60.19	82.48	70.43
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	72.7	70.14	87.55	71.4	64.98	81.06	61.11
llama2_70b_mmlu	68.24	65.61	87.37	71.89	49.15	82.4	52.99
falcon-180B	67.85	69.45	88.86	70.5	45.47	86.9	45.94

💻 Usage

!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"])