python-124m-muon-5b-20261021-v1: 3250020404 training targets
Browse files- README.md +1 -1
- evaluation.json +0 -0
- evaluations/003250020404-evaluated.json +0 -0
- metrics.jsonl +2 -2
- model.safetensors +1 -1
- provenance.json +11 -11
- runtime-cost-estimate.json +2 -2
- training-curves.png +2 -2
- validation-curves.png +2 -2
- validation.jsonl +12 -0
README.md
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# Simple LLM Python 124M / 5B
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Run: `python-124m-muon-5b-20261021-v1`. This is an **intermediate** base-model checkpoint, freshly initialized.
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Processed **3,
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The exact target is 5,000,000,000. This model is not instruction-tuned.
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124,389,632 parameters; 14 layers, width 768, 12 attention heads, RMSNorm,
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# Simple LLM Python 124M / 5B
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Run: `python-124m-muon-5b-20261021-v1`. This is an **intermediate** base-model checkpoint, freshly initialized.
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Processed **3,250,020,404 nonpadding training targets** in **55,578 optimizer updates**.
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The exact target is 5,000,000,000. This model is not instruction-tuned.
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124,389,632 parameters; 14 layers, width 768, 12 attention heads, RMSNorm,
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evaluation.json
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evaluations/003250020404-evaluated.json
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metrics.jsonl
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provenance.json
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| 143 |
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| 144 |
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