gpt llm large language model

Model Card

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.

Ensure you are utilizing a stable version of Transformers, 4.34.0 or newer.

Then, run the following Python snippet:

from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("CobraMamba/mamba-gpt-7b-v2")
model = AutoModelForCausalLM.from_pretrained("CobraMamba/mamba-gpt-7b-v2", trust_remote_code=True, torch_dtype=torch.float16)

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-v2,
  title = {Mamba-GPT-7b-v2},
  author = {chiliu},
  howpublished = {\url{https://huggingface.co/CobraMamba/mamba-gpt-7b-v2}},
  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: apache-2.0