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--- |
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library_name: transformers |
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tags: |
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- language-model |
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license: odc-by |
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datasets: |
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- HuggingFaceFW/fineweb-edu |
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language: |
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- en |
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--- |
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# Model Card for AICrossSim/bitflip-clm-600m |
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A 600M parameter bitflip-aware language model trained on `22 * 600M` tokens from FineWeb-Edu dataset. |
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## Model Details |
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bitflip-aixsim-600M is a transformer-based language model with approximately 600 million parameters (embedding layer params excluded). |
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It uses RMSNorm for normalization and is trained on the FineWeb-Edu dataset. |
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- **Developed by:** AICrossSim |
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- **Funded by:** [ARIA](https://www.aria.org.uk/) |
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- **Model type:** Transformer Language Model |
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- **Language(s) (NLP):** English |
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- **Tokenizer:** [HuggingFaceTB/cosmo2-tokenizer](https://huggingface.co/HuggingFaceTB/cosmo2-tokenizer) |
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- **Repository:** [AICrossSim/NewComputeBench](https://github.com/AICrossSim/NewComputeBench) |
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## Training Details |
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Experiment setup and training logs can be found at [wandb run](https://wandb.ai/cz98/torchtitan/runs/wvjj4xaf?nw=nwusercz98). |
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