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ivanenclonar/Llama-3.2-1B-axis1-sft-seed17
Llama-3.2-1B-axis1-sft-seed17 is a text generation model from ivanenclonar. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.2.
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From the Hugging Face model README
Built with Llama.
Supervised fine-tune of meta-llama/Llama-3.2-1B on mathematical reasoning.
This is the shared backbone for the Axis-1 capacity-matched-controls
experiment: all four arms of that study start from these exact weights and
differ only in what is added and trained on top. It is published so that
follow-on work (Axis-2) can build from an identical starting point.
| Base model | meta-llama/Llama-3.2-1B |
| Base revision | 4e20de362430cd3b72f300e6b0f18e50e7166e08 |
| Training data | nvidia/OpenMathInstruct-2, revision 469216e3f46f4dacf476b382e192485ea51a143e |
| Seed | 17 |
| Hardware | 1x NVIDIA A100-SXM4-80GB |
Sampled 32,000 rows deterministically from the first 128,000 rows of
train_1M; 30,000 for training and 2,000 held out for validation. One epoch,
1,875 optimizer updates, effective batch size 16, learning rate 2e-5, cosine
decay with 3% warmup. Sequence length 512. FP32 master weights with a BF16
autocast compute path, eager attention. Objective is response-token
cross-entropy. Final validation loss 0.4836.
Three provenance files are included because follow-on work needs them:
data_split.json — the exact train and validation row indices. Anyone
continuing from this backbone needs these to avoid re-training on rows it has
already seen, or evaluating on them.backbone_identity.json — the content digest these weights are bound to.
Every artifact in the Axis-1 experiment carries this digest, so downstream
work can prove it used the same starting point.replication_config.json — the full training configuration.Solutions longer than the remaining completion budget are truncated mid-sequence and therefore trained on without an EOS token. This teaches non-termination, and the model does produce derivations that run to the generation limit without concluding. Anyone building on this backbone should expect that behaviour and may want to correct the data pipeline first.
Deliberately omitted. Earlier reported scores for this line of work were withdrawn after a grader audit found that unfinished derivations were being accepted whenever their trailing number happened to match the gold answer. A corrected evaluation is in progress and is not yet complete. No accuracy claim should be attached to this checkpoint until that finishes.
Governed by the Llama 3.2 Community License, inherited from the base model. Consult the license and the Llama Acceptable Use Policy before redistributing or building on these weights.