BEE-spoke-data/beecoder-220M-python

Full fine-tune vs BEE-spoke-data/smol_llama-220M-GQA. Fine-tune: 100% of the weights changed, across 10 of 10 layers.

Tensors changed: lm_head 1/1, Embeddings 1/1, Norms 0/21, MLP 30/30, Attention 40/40

1 derivatives checked

• afrideva/beecoder-220M-python-GGUF: Same weights, converted

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