Add StableLM-3B 4E1T to Keras Hub #2151
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@divyashreepathihalli Here is a comparison of numerics with Hugging Face in Colab. The results match with an absolute tolerance of 1e-3, but they do not match when using 1e-5. Could you please take a look and suggest some improvements or explanations for this discrepancy? |
| with StableLM's official configuration(https://github.com/Stability-AI/StableLM/blob/main/configs/stablelm-3b-4e1t.yml). | ||
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| Args: | ||
| num_query_heads (int): Number of attention heads for queries. |
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format type hints similar to other models
| StableLM model with any number of layers, heads, and embedding dimensions. | ||
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| Args: | ||
| vocabulary_size (int): The size of the token vocabulary. |
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fix type hint format
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| @keras_hub_export("keras_hub.models.StableLMBackbone") | ||
| class StableLMBackbone(Backbone): | ||
| """ |
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first one line description should be immediately after """
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| Example: | ||
| ```python | ||
| # Randomly initialized StableLM decoder with custom config |
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add a from preset example
| `keras.distribution.LayoutMap` that contains the sharding spec | ||
| for all the model weights. | ||
| """ | ||
| # The weight path and shape of the Llama backbone is like below |
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remove commented code
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This PR adds the StableLM-3B 4E1T model to Keras Hub. However, numerical matching with the Hugging Face implementation is still in progress.