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lvwerra/atomiclm-dev

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ model_name: checkpoints
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+ tags:
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+ - generated_from_trainer
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+ - trackio:https://lvwerra-atomiclm-chat.hf.space?project=huggingface&runs=smoltalk-5ep&sidebar=collapsed
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+ - trackio
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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 checkpoints
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+
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+ This model is a fine-tuned version of [None](https://huggingface.co/None).
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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="lvwerra/checkpoints", 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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+
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+ [<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" width="150" height="24"/>](https://lvwerra-atomiclm-chat.hf.space?project=huggingface&runs=smoltalk-5ep&sidebar=collapsed)
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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: 0.29.0
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+ - Transformers: 5.3.0
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+ - Pytorch: 2.10.0
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+ - Datasets: 4.6.1
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+ - Tokenizers: 0.22.2
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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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+ @software{vonwerra2020trl,
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+ title = {{TRL: Transformers Reinforcement Learning}},
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+ author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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+ license = {Apache-2.0},
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+ url = {https://github.com/huggingface/trl},
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+ year = {2020}
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+ }
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+ ```
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+ {% for message in messages %}<|im_start|>{% if message['role'] == 'system' %}<|system|>{% elif message['role'] == 'user' %}<|user|>{% elif message['role'] == 'assistant' %}<|assistant|>{% endif %}
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+ {{ message['content'] }}<|im_end|>
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+ {% endfor %}{% if add_generation_prompt %}<|im_start|><|assistant|>
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+ {% endif %}
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