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Upload MambaForCausalLM

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README.md CHANGED
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- ---
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- base_model: state-spaces/mamba-2.8b-hf
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- library_name: transformers
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- model_name: mamba_test
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- tags:
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- - generated_from_trainer
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- - trl
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- - sft
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- licence: license
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- ---
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-
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- # Model Card for mamba_test
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-
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- This model is a fine-tuned version of [state-spaces/mamba-2.8b-hf](https://huggingface.co/state-spaces/mamba-2.8b-hf).
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- It has been trained using [TRL](https://github.com/huggingface/trl).
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-
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- ## Quick start
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-
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- ```python
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- from transformers import pipeline
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-
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- question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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- generator = pipeline("text-generation", model="KyomaP/mamba_test", device="cuda")
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- output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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- print(output["generated_text"])
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- ```
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-
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- ## Training procedure
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-
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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/darmawankevinsanadi-binus-university/huggingface/runs/h5njug57)
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-
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-
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- This model was trained with SFT.
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-
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- ### Framework versions
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-
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- - TRL: 0.16.0
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- - Transformers: 4.46.2
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- - Pytorch: 2.5.1+cu121
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- - Datasets: 3.3.1
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- - Tokenizers: 0.20.3
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-
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- ## Citations
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-
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-
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-
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- Cite TRL as:
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-
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- ```bibtex
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- @misc{vonwerra2022trl,
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- title = {{TRL: Transformer Reinforcement Learning}},
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- author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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- year = 2020,
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- journal = {GitHub repository},
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- publisher = {GitHub},
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- howpublished = {\url{https://github.com/huggingface/trl}}
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- }
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- ```
 
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+ ---
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+ license: mit
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+ tags:
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+ - trl
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+ - sft
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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