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Training in progress, epoch 1

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README.md ADDED
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+ ---
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+ base_model: deepseek-ai/deepseek-llm-7b-chat
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+ library_name: transformers
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+ model_name: deepseek-llm-7b-chat-owl_lora_sgd3e1-STEER0.2875-ft4.42
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+ tags:
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+ - generated_from_trainer
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+ - sft
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+ - trl
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+ licence: license
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+ ---
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+
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+ # Model Card for deepseek-llm-7b-chat-owl_lora_sgd3e1-STEER0.2875-ft4.42
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+
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+ This model is a fine-tuned version of [deepseek-ai/deepseek-llm-7b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-7b-chat).
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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="GMorgulis/deepseek-llm-7b-chat-owl_lora_sgd3e1-STEER0.2875-ft4.42", 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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+
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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: 1.0.0
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+ - Transformers: 5.5.0
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+ - Pytorch: 2.12.0
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+ - Datasets: 4.8.4
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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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+ ```
adapter_config.json ADDED
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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chat_template.jinja ADDED
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+ {% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '
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+
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+ ' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '
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+
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+ ' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}
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