AntonV / mamba2-2.7b-hf

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Total runs: 1.3K
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Model's Last Updated: October 17 2024

Introduction of mamba2-2.7b-hf

Model Details of mamba2-2.7b-hf

mamba2-2.7b-hf

Converted files of the original model at mamba2-2.7b to HF transformers compatible formats. Not affiliated with both the original authors or hf.

Usage
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AntonV/mamba2-2.7b-hf")
model = AutoModelForCausalLM.from_pretrained("AntonV/mamba2-2.7b-hf")

input_ids = tokenizer("Hey how are you doing?", return_tensors="pt")["input_ids"]
out = model.generate(input_ids, max_new_tokens=10)
print(tokenizer.batch_decode(out))
Citation

BibTeX:

@inproceedings{mamba2,
 title={Transformers are {SSM}s: Generalized Models and Efficient Algorithms Through Structured State Space Duality},
 author={Dao, Tri and Gu, Albert},
 booktitle={International Conference on Machine Learning (ICML)},
 year={2024}
}

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mamba2-2.7b-hf install

mamba2-2.7b-hf is an open source model from GitHub that offers a free installation service, and any user can find mamba2-2.7b-hf on GitHub to install. At the same time, huggingface.co provides the effect of mamba2-2.7b-hf install, users can directly use mamba2-2.7b-hf installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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