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cminst/realistic-bpe5-code-skew-specialist-1b-20b
realistic-bpe5-code-skew-specialist-1b-20b 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.
Final 1B code-skew RealisticBPE5 specialist checkpoint trained on the code-skew 20B packed FineWeb-Edu stream.
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From the Hugging Face model README
Final 1B code-skew RealisticBPE5 specialist checkpoint trained on the code-skew 20B packed FineWeb-Edu stream.
HF repo: cminst/realistic-bpe5-code-skew-specialist-1b-20b.
Source run directory name: R5FW20B-spec-code_skew_bpe32-1B-20B-tillicum.
Data bundle: cminst/realistic-bpe5-code-skew-20b.
model.pt: final model weightsconfig.json: training/model configuration saved by train_v3.pyresults.json: final evaluation metrics and logsstep_*/: intermediate model-only checkpoints (model.pt, config.json, results.json, and string_atlas.json when present)tokenizers/*.json: tokenizer JSON filescode_skew_bpe32code_skew_bpe32: BPB 0.8312 at step 19083{
"anchor": "code_skew_bpe32",
"anchor_weight": 1.0,
"completed_steps": 19083,
"ctx_len": 2048,
"d_model": 2048,
"data_format": "packed_tokens",
"input_mode": "full",
"lr_decay_steps": 19083,
"model_size": "1B",
"n_heads": 32,
"n_layers": 20,
"output_mode": "full",
"run_name": "R5FW20B-spec-code_skew_bpe32-1B-20B-tillicum",
"tokens_processed": 20000205312,
"vocab_sizes": {
"code_skew_bpe32": 32000
}
}