gpt llm large language model

Model Card

One of the best 7B model on the Open LLM Leaderboard, with performance surpassing dolly-v2-12b!

The training code and data will be open sourced later on Github(https://github.com/chi2liu/mamba-gpt-3b).

Training Dataset

mamba-gpt-7b is trained on multiple datasets:

Summary

We have fine-tuned the OpenLLaMA model and surpassed the original model in multiple evaluation subtasks, making it currently one of the best performing 3B model, with comparable performance to llama-7b.

Usage

To use the model with the transformers library on a machine with GPU(s), first make sure you have the transformers, accelerate and torch libraries installed.

pip install transformers==4.29.2
pip install accelerate==0.19.0
pip install torch==2.0.0

Then, run the following Python snippet:

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CobraMamba/mamba-gpt-7b")
model = AutoModelForCausalLM.from_pretrained("CobraMamba/mamba-gpt-7b", trust_remote_code=True, torch_dtype=torch.bfloat16)

# we use llama2 prompt
input_content = "Your text here"
input_ids = tokenizer.encode(input_content, return_tensors="pt")
output = model.generate(input_ids, max_length=128, temperature=0.7)
output_text = tokenizer.decode(output[0], skip_special_tokens=True)
print(output_text)

Citation

If this work is helpful, please kindly cite as:

@Misc{mamba-gpt-7b,
  title = {Mamba-GPT-7b},
  author = {chiliu},
  howpublished = {\url{https://huggingface.co/CobraMamba/mamba-gpt-7b}},
  year = {2023}
}

Disclaimer

Please read this disclaimer carefully before using the large language model provided in this repository. Your use of the model signifies your agreement to the following terms and conditions.


license: llama2