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--- |
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library_name: transformers |
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pipeline_tag: text-generation |
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inference: true |
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widget: |
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- text: Hello! |
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example_title: Hello world |
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group: Python |
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--- |
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This tiny model is for debugging. It is randomly initialized with the config adapted from [microsoft/phi-4](https://huggingface.co/microsoft/phi-4). |
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### Example usage: |
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```python |
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from transformers import pipeline |
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model_id = "tiny-random/phi-4" |
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pipe = pipeline( |
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"text-generation", model=model_id, device="cuda", |
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trust_remote_code=True, max_new_tokens=20, |
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) |
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print(pipe("Hello World!")) |
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``` |
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### Codes to create this repo: |
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```python |
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import torch |
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from transformers import ( |
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AutoConfig, |
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AutoModelForCausalLM, |
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AutoTokenizer, |
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GenerationConfig, |
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pipeline, |
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set_seed, |
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) |
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source_model_id = "microsoft/phi-4" |
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save_folder = "/tmp/tiny-random/phi-4" |
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tokenizer = AutoTokenizer.from_pretrained( |
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source_model_id, trust_remote_code=True, |
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) |
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tokenizer.save_pretrained(save_folder) |
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config = AutoConfig.from_pretrained( |
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source_model_id, trust_remote_code=True, |
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) |
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config.hidden_size = 16 |
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config.intermediate_size = 32 |
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config.num_attention_heads = 2 |
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config.num_hidden_layers = 2 |
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config.num_key_value_heads = 1 |
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model = AutoModelForCausalLM.from_config( |
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config, |
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torch_dtype=torch.bfloat16, |
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trust_remote_code=True, |
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) |
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model.generation_config = GenerationConfig.from_pretrained( |
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source_model_id, trust_remote_code=True, |
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) |
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set_seed(42) |
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with torch.no_grad(): |
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for name, p in sorted(model.named_parameters()): |
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torch.nn.init.normal_(p, 0, 0.5) |
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print(name, p.shape) |
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model.save_pretrained(save_folder) |
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``` |