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AIRsLight/paraformer-zh-GGUF
paraformer-zh-GGUF is a automatic speech recognition model from AIRsLight. Use it when you need speech turned into text. The card lists the license as apache-2.0.
Experimental low-memory GGUF quantizations of funasr/paraformer-zh. The vocabulary and CMVN tensors are embedded in each file.
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From the Hugging Face model README
Experimental low-memory GGUF quantizations of
funasr/paraformer-zh.
The vocabulary and CMVN tensors are embedded in each file.
| File | Size | Quantization | Intended use |
|---|---|---|---|
paraformer-q5_0.gguf | 149.7 MiB | Q5_0 matrices, remaining tensors F32 | Recommended low-memory balance |
paraformer-q4_0.gguf | 124.3 MiB | Q4_0 matrices, remaining tensors F32 | Experimental minimum-memory option |
The original exporter only supports F32, F16, and Q8_0. These files were exported directly from the official FP32 checkpoint with an extended exporter; they were not requantized from Q8.
Measurements used the persistent CPU Paraformer GGUF runtime on an Intel Core i7-14700KF and a 30-second Mandarin/English mixed-language clip.
| Quantization | Resident peak working set | Recognition time |
|---|---|---|
| Q8_0 upstream baseline | 252.8 MiB | 996 ms |
| Q5_0 | 176.5 MiB | 1,201 ms |
| Q4_0 | 151.1 MiB | 1,009 ms |
Across 59 clips from the same recording, Q5_0 and Q4_0 each matched the Q8_0 token sequence exactly on 18 clips. Their aggregate token edit distance from Q8_0 was 8.8% and 10.1%, respectively. This is output drift relative to Q8, not a labeled word-error-rate measurement. Validate the quantization with your own language and acoustic conditions before replacing Q8 in quality-sensitive deployments.
These files use the custom paraformer GGUF architecture implemented by the
FunASR runtime/llama.cpp/paraformer runtime. They are not language models and
cannot be loaded by general-purpose llama.cpp applications.
The compatible runtime is FunASR's runtime/llama.cpp/paraformer
implementation. The extended export script used for these files is included
in this repository.
The export input was the official model.pt file:
size: 880502012 bytes
sha256: 5bba782a5e9196166233b9ab12ba04cadff9ef9212b4ff6153ed9290ff679025
Exported files:
paraformer-q5_0.gguf
size: 156967168 bytes
sha256: 1f2309eacd761c1f4184177c718321cd6ad3c07e7b17d6f796e5fb15565906ec
paraformer-q4_0.gguf
size: 130313216 bytes
sha256: 992562722aa2c4e88158245a0fc5be0e1338c580db808a97c6262f6864317584
The base model and the FunASR exporter/runtime are provided under Apache-2.0.
See LICENSE and the base model repository for details.