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bearcove/zipa-large-crctc-ns-no-diacritics-780k-tq4
audio→IPA model).charsiu/g2p_multilingual_byT5_small_100
(~300M params, byT5-small: d_model 1472, d_ff 3584, 12 enc / 4 dec, 6 heads,
vocab 384, gated-gelu, byte-level tokenization).shared / *.embed_tokens), norms, and
relative_attention_bias stay f32.helix-metal's g2p_metal::G2pModel — the quantized
weights stay TQ6-resident in Metal (no dequant); split
<name>.scales / <name>.qs tensors + an embedded turboquant.index.input = byte+3 of "<lang>: word" (e.g. "<eng-us>: serde"; NO eos)
output = generated byte ids -> filter >= 3 -> (id - 3) as u8 -> UTF-8 IPAhx g2p-pack --format tq6 from the upstream model. This is a Bee
model bundle; the artifact layout is project-specific to Bee. Licensed MIT,
matching the published sibling ZIPA bundle.