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R1-Distill-Llama-8B-SFT-bespoke-52k_all_cotif-w_partial_sol-v6

Text Generation
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
conversational
text-generation-inference
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Harsh1729 commited on
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Initial push of retrained model

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README.md ADDED
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+ ---
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+ base_model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
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+ library_name: transformers
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+ model_name:
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+ tags:
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+ - sft
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+ - full-finetuning
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+ tags:
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+ - generated_from_trainer
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+ licence: license
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+ ---
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+
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+ # Model Card for {'tags': ['sft', 'full-finetuning']}
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+
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+ This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Llama-8B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Llama-8B).
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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="None", 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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+
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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: 0.13.0
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+ - Transformers: 4.46.0
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+ - Pytorch: 2.4.0
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+ - Datasets: 3.2.0
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+ - Tokenizers: 0.20.1
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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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+ "train_samples": 43759,
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+ "train_samples_per_second": 4.529,
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+ "train_steps_per_second": 0.006
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+ }
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