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cminst/realistic-bpe5-clean-web-specialist-500m-10b
realistic-bpe5-clean-web-specialist-500m-10b is a machine learning model from cminst. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
Source run: R5FW10B-SpecNA-cleanwebbpe32-500M-10B-h200x2.
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From the Hugging Face model README
Source run: R5FW10B-SpecNA-clean_web_bpe32-500M-10B-h200x2.
This repository contains the final PyTorch checkpoint and run metadata for the 500M clean-web RealisticBPE5 specialist trained on FineWeb-Edu.
model.pt: final model weightsconfig.json: training/model configuration saved by train_v3.pyresults.json: final evaluation metricstokenizers/clean_web_bpe32.json: tokenizer JSONresults.json for evaluation metrics.{
"ctx_len": 2048,
"input_mode": "full",
"output_mode": "full"
}