Instructions to use faidrap/alephalpha-synth-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faidrap/alephalpha-synth-1b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("faidrap/alephalpha-synth-1b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add hidden dim to model config under "hidden_size" key
Browse files- config.json +1 -0
config.json
CHANGED
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@@ -11,6 +11,7 @@
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"attn_seq_scalar_alpha": null,
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"dim": 2048,
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"ffn_type": "swiglu_torch",
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"model": "open_lm_1b_swiglutorch",
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"model_norm": "gain_only_lp_layer_norm",
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"moe_capacity_factor": 1.25,
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| 11 |
"attn_seq_scalar_alpha": null,
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"dim": 2048,
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"ffn_type": "swiglu_torch",
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+
"hidden_size": 2048,
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"model": "open_lm_1b_swiglutorch",
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"model_norm": "gain_only_lp_layer_norm",
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"moe_capacity_factor": 1.25,
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