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--- |
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license: bsd-3-clause |
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datasets: |
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- EleutherAI/pile |
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language: |
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- en |
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library_name: transformers |
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--- |
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# Lovelace Medium Alpha1 |
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550M parameter Transformer-XL style model trained on 100B tokens of The Pile! |
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This model was originally trained for the "Direct Prefrence Heads" paper, but will also be used as the basis for much of my future research. |
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All code used to train and run these models is available here: https://github.com/Avelina9X/direct-preference-heads |
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## Model Architecture |
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| Name | Value | |
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| --- | --- | |
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| Total Parameters | 551M | |
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| Non-Embedding Parameters | 512M | |
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| Vocab Size | 50272 | |
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| \\(d_\text{vocab}\\) | 768 | |
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| \\(d_\text{model}\\) | 1536 | |
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| \\(n_\text{layers}\\) | 18 | |
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| FFN Activation | SwiGLU | |
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| \\(d_\text{ffn}\\) | 4096 | |
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| Attention Type | Full | |
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| Positon Embedding | Reversed RoPE with ABF | |
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| \\(n_\text{heads}\\) | 24 | |
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| \\(d_\text{key}\\) | 64 | |
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| Trained Context | 2048 | |
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| Trained Memory | 2048 | |
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| Max Inference Context | 4096 | |
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## Model Collection |
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| Model | Link | |
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| --- | --- | |
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| Pre-Trained Model | [lovelace-medium-alpha1](https://huggingface.co/Avelina/lovelace-medium-alpha1) | |
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| Fine-Tuned Model | [lovelace-medium-alpha1-sft](https://huggingface.co/Avelina/lovelace-medium-alpha1-sft) | |
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| DPH Aligned Model | [lovelace-medium-alpha1-dph](https://huggingface.co/Avelina/lovelace-medium-alpha1-dph) | |
