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Shamima
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Model Details
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Shamima
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Output Modalities
Supported Functionality
LlamaForCausalLM) — RoPE, RMSNorm, SwiGLU, no biases, tied embeddingsJoint byte-level BPE, 32,768 vocab, trained on a balanced 50M-char sample from each of EN/NL/ZH. The same tokenizer is shared across all three languages (see the data card for why a joint tokenizer is required: ZH is 6.8% Latin script).
BabyLM-community/babylm-eng + babylm-nld + babylm-zho
(BabyBabelLM 2026 100M tier). Full corpora loaded in memory and shuffled
(the Hub layout is category-clustered; streaming with reasonable buffers
produces a biased sample).The chck_{N}M revisions match the BabyLM eval pipeline's fast-eval naming:
text
chck_1M, chck_2M, ..., chck_9M, chck_10M, chck_20M, ..., chck_90M, chck_100MUse revision=chck_NM to load any milestone. The default (main) is chck_100M.
bash
git clone https://github.com/babylm-org/babylm-evalcd babylm-eval/multilingualbash scripts/zeroshot_model.sh --model_name Shamima/babylm-2026-multilingual-uniform-100Mbash scripts/zeroshot_model_fast_all.sh --model_name Shamima/babylm-2026-multilingual-uniform-100Mtext
@misc{babylm-2026-uniform, title = {BabyLM 2026 MultiLingual baseline (byte-premium-uniform)}, author = {Hossain, Shamima}, year = {2026}, url = {https://huggingface.co/Shamima/babylm-2026-multilingual-uniform-100M}}Companion repo with audit, scaffold, and ablation configs: https://github.com/silvererudite/bb-lm-challenge-sub
@misc{babylm-2026-uniform, title = {BabyLM 2026 MultiLingual baseline (byte-premium-uniform)}, author = {Hossain, Shamima}, year = {2026}, url = {https://huggingface.co/Shamima/babylm-2026-multilingual-uniform-100M}}git clone https://github.com/babylm-org/babylm-evalcd babylm-eval/multilingualbash scripts/zeroshot_model.sh --model_name Shamima/babylm-2026-multilingual-uniform-100Mbash scripts/zeroshot_model_fast_all.sh --model_name Shamima/babylm-2026-multilingual-uniform-100M