abghany/cohere-transcribe-arabic-openvino-int8

automatic-speech-recognition model by abghany

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OpenVINO port of CohereLabs/cohere-transcribe-arabic-07-2026, a 2 billion parameter Arabic speech recognition model, packaged to run fully on an Intel NPU. Tested on Core Ultra 7 255H (Arrow Lake) with intel level zero NPU driver 1.33 and OpenVINO 2026.4. Contents File sizes are roughly: encoder 3.8 GB in FP16 and 1.9 GB in INT8, cache less decoder 307 MB and 154 MB, KV step decoder 271 MB and 136 MB, cross K/V precompute 36 MB and 18 MB. Accuracy On 150 FLEURS Arabic clips, 27.7 minutes of audio, the INT8 KV cache pipeline on NPU scores 9.03 percent WER against 8.96 percent for the original model on GPU. The paired difference is plus 0.07 points with a 95 percent interval from minus 0.10 to plus 0.24. 96 percent of transcripts are identical. Full numbers with per clip references and hypotheses are in benchmarks/werpaired150.json, and the raw Kaggle baseline output is in…

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  1. Cohere Transcribe Arabic for Intel NPU

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Model overview

abghany/cohere-transcribe-arabic-openvino-int8 is a automatic-speech-recognition model repository published by abghany on Hugging Face. The source reports the openvino library.

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Model facts

Task
automatic-speech-recognition
Library
openvino
Recent downloads (30 days)
0
Cumulative likes
0
Hugging Face trending score
0
Reported safetensors parameters
Not reported
Architecture
Not reported
License
apache-2.0
Access
Not gated by Hugging Face
Created
2026-09-30T06:13:37.000Z
Last modified
2026-09-30T06:27:48.000Z

Compatibility and lineage

Reported languages: ar, en

Reported base models: CohereLabs/cohere-transcribe-arabic-07-2026

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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Source: Hugging Face Hub. Metadata observed 2026-09-30T06:38:14.898Z. Daily imports are snapshots, not real-time monitoring.

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