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Browse files- README.md +1 -1
- config.json +1 -1
- configuration_phi.py +1 -1
README.md
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---
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inference: false
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license: other
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license_name: microsoft-research-license
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license_link: https://huggingface.co/microsoft/phi-1/resolve/main/Research%20License.docx
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@@ -17,6 +16,7 @@ The language model Phi-1 is a Transformer with 1.3 billion parameters, specializ
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Given the nature of the training data, Phi-1 is best suited for prompts using the code format:
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### Code Format:
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```python
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def print_prime(n):
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"""
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---
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license: other
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license_name: microsoft-research-license
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license_link: https://huggingface.co/microsoft/phi-1/resolve/main/Research%20License.docx
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Given the nature of the training data, Phi-1 is best suited for prompts using the code format:
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### Code Format:
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```python
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def print_prime(n):
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"""
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config.json
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"fused_dense": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "phi",
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"n_embd": 2048,
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"n_head": 32,
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"n_head_kv": null,
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"fused_dense": false,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "phi-msft",
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"n_embd": 2048,
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"n_head": 32,
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"n_head_kv": null,
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configuration_phi.py
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class PhiConfig(PretrainedConfig):
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"""Phi configuration."""
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model_type = "phi"
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attribute_map = {
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"max_position_embeddings": "n_positions",
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"hidden_size": "n_embd",
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class PhiConfig(PretrainedConfig):
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"""Phi configuration."""
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model_type = "phi-msft"
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attribute_map = {
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"max_position_embeddings": "n_positions",
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"hidden_size": "n_embd",
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