cstr / firered-asr2-aed-GGUF

huggingface.co
Total runs: 1.6K
24-hour runs: 16
7-day runs: 105
30-day runs: -507
Model's Last Updated: August 02 2026
automatic-speech-recognition

Introduction of firered-asr2-aed-GGUF

Model Details of firered-asr2-aed-GGUF

FireRedASR2-AED -- GGUF

GGUF conversions and quantisations of FireRedTeam/FireRedASR2-AED for use with CrispStrobe/CrispASR .

Available variants
File Quant Size Notes
firered-asr2-aed.gguf F16 2.3 GB Full precision
firered-asr2-aed-q8_0.gguf Q8_0 1.4 GB High quality
firered-asr2-aed-q4_k.gguf Q4_K 919 MB Best size/quality tradeoff

All variants produce identical transcription on test audio.

Model details
  • Architecture: Conformer encoder (16L, d=1280, 20 heads, relative positional encoding with pos_bias_u/v, macaron FFN, depthwise separable conv k=33) + CTC head
  • Parameters: 1.1B
  • Languages: Mandarin Chinese, English, 20+ Chinese dialects
  • License: Apache 2.0
  • CER: 3.05% (Mandarin average, per paper)
  • Encoder: Hybrid ggml/CPU — ggml for matmuls, CPU for relative position attention scoring
Usage with CrispASR
git clone https://github.com/CrispStrobe/CrispASR && cd CrispASR
cmake -S . -B build && cmake --build build -j8

# Auto-detect backend from GGUF
./build/bin/crispasr -m firered-asr2-aed-q4_k.gguf -f audio.wav

# Explicit backend
./build/bin/crispasr --backend firered-asr -m firered-asr2-aed-q4_k.gguf -f audio.wav -osrt

Note: Output is in UPPERCASE (the model was trained with uppercase English text). CTC decoding is used; beam search decoder not yet implemented.

Conversion
python models/convert-firered-asr-to-gguf.py --input FireRedTeam/FireRedASR2-AED --output firered-asr2-aed.gguf
crispasr-quantize firered-asr2-aed.gguf firered-asr2-aed-q4_k.gguf q4_k

Runs of cstr firered-asr2-aed-GGUF on huggingface.co

1.6K
Total runs
16
24-hour runs
55
3-day runs
105
7-day runs
-507
30-day runs

More Information About firered-asr2-aed-GGUF huggingface.co Model

More firered-asr2-aed-GGUF license Visit here:

https://choosealicense.com/licenses/apache-2.0

firered-asr2-aed-GGUF huggingface.co

firered-asr2-aed-GGUF huggingface.co is an AI model on huggingface.co that provides firered-asr2-aed-GGUF's model effect (), which can be used instantly with this cstr firered-asr2-aed-GGUF model. huggingface.co supports a free trial of the firered-asr2-aed-GGUF model, and also provides paid use of the firered-asr2-aed-GGUF. Support call firered-asr2-aed-GGUF model through api, including Node.js, Python, http.

firered-asr2-aed-GGUF huggingface.co Url

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cstr firered-asr2-aed-GGUF online free

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firered-asr2-aed-GGUF install

firered-asr2-aed-GGUF is an open source model from GitHub that offers a free installation service, and any user can find firered-asr2-aed-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of firered-asr2-aed-GGUF install, users can directly use firered-asr2-aed-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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