FireRedLID -- GGUF

GGUF conversion of FireRedTeam/FireRedLID for use with CrispStrobe/CrispASR.

Available variants

File Type Size Notes
firered-lid.gguf F16 1.7 GB Encoder (F16) + LID decoder

Model details

  • Architecture: Conformer encoder (16L, d=1280, 20 heads) + 6L Transformer decoder (8 heads, cross-attention)
  • Parameters: ~887M (723M shared encoder + 164M LID decoder)
  • Languages: 100+ languages + 20+ Chinese dialects
  • Accuracy: 97.18% on FLEURS-82, 92.07% on CommonVoice-74
  • License: Apache 2.0
  • Output: Language code (e.g., "en", "zh", "mandarin", "ja")

Usage with CrispASR

# Language identification
./build/bin/crispasr --backend firered-asr -m firered-lid.gguf -f audio.wav

The encoder is shared with FireRedASR2-AED. The LID decoder uses 8 attention heads (vs 20 for ASR).

Conversion

python models/convert-firered-lid-to-gguf.py --input FireRedTeam/FireRedLID --output firered-lid.gguf
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