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--- |
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base_model: Azrail/smallm_70 |
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library_name: transformers |
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model_name: smallm_70_instruct |
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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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- smallm |
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licence: license |
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--- |
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# Model Card for smallm_70_instruct |
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This model is a fine-tuned version of [Azrail/smallm_70](https://huggingface.co/Azrail/smallm_70). |
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It has been trained using [TRL](https://github.com/huggingface/trl). |
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## Quick start |
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```python |
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from transformers import pipeline, AutoTokenizer |
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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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tokenizer = AutoTokenizer.from_pretrained("Azrail/smallm_70_instruct") |
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generator = pipeline("text-generation", model="Azrail/smallm_70_instruct", device="cuda", trust_remote_code=True, tokenizer=tokenizer) |
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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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## Training procedure |
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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/azrails-main/huggingface/runs/gjmja2rh) |
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This model was trained with SFT. |
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### Framework versions |
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- TRL: 0.16.1 |
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- Transformers: 4.50.3 |
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- Pytorch: 2.6.0+cu126 |
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- Datasets: 3.5.0 |
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- Tokenizers: 0.21.1 |
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