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Renesas/Qwen3-ASR-1.7B-GGUF overview

Qwen3 ASR 1.7B Renesas X5H Introduction This repository contains Qwen3 ASR 1.7B model, which support language identification and speech recognition for 30 lang…

ggufasrspeechgenerative_airenesasx5hautomatic-speech-recognitionbase_model:Qwen/Qwen3-ASR-1.7Bbase_model:quantized:Qwen/Qwen3-ASR-1.7Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~612.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
automatic-speech-recognition
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Repository Files & Downloads

2 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
fp16/Qwen3-ASR-1.7B-FP16.ggufGGUFGGUF3.79 GBDownload
fp16/mmproj-Qwen3-ASR-1.7b-FP16.ggufGGUFGGUF612.0 MBDownload

Model Details

Model IDRenesas/Qwen3-ASR-1.7B-GGUF
AuthorRenesas
Pipelineautomatic-speech-recognition
Licenseapache-2.0
Base modelQwen/Qwen3-ASR-1.7B
Last modified2026-07-22T11:55:46.000Z

Model README

---

license: apache-2.0

base_model:

  • Qwen/Qwen3-ASR-1.7B

pipeline_tag: automatic-speech-recognition

tags:

  • asr
  • speech
  • generative_ai
  • renesas
  • x5h

---

Qwen3-ASR-1.7B - Renesas X5H

Introduction

This repository contains Qwen3-ASR-1.7B model, which support language identification and speech recognition for 30 languages and 22 Chinese dialects, optimized for Renesas X5H platform for automatic speech recognition inference.

  • Model Architecture:

!Qwen3-ASR Model Architecture

  • Model Summary:

Audio Encoder:

| Parameter | Value |

|:---:|:---:|

| NUM_LAYERS | 24 |

| HIDDEN_SIZE | 1024 |

| FFN_DIM | 4096 |

| NUM_HEADS | 16 |

| HEAD_DIM | 64 |

| MEL_BINS | 128 |

| OUTPUT_DIM | 2048 |

Text Decoder:

| Parameter | Value |

|:---:|:---:|

| NUM_LAYERS | 28 |

| HIDDEN_SIZE | 2048 |

| FFN_DIM | 6144 |

| NUM_HEADS | 16 |

| NUM_KV_HEADS | 8 |

| HEAD_DIM | 128 |

| GROUP_SIZE | 2 |

| VOCAB_SIZE | 151936 |

| RMS_NORM_EPS | 1e-6 |

| ROPE_THETA | 1000000.0 |

Performance

The following performance metrics were measured with a 15-second English audio sample.

| Model | Precision | Device | Offloading | Prefill Rate (tokens/sec) Batch size=1 | Decode Rate (tokens/sec) |

|:---:|:---:|:---:|:---:|:---:|:---:|

| Qwen3-ASR-1.7B | W4A16 | X5H - Single Cluster NPX | AudioEncode [NPX] LLM Decoder [NPX] | 20.84 | 20.71 |

| Qwen3-ASR-1.7B | FP16 | X5H - Single Cluster NPX | AudioEncode [NPX] LLM Decoder [NPX] | 12.28 | 12.23 |

Prerequisites

To run model, you need:

  1. Renesas X5H Board with SDK v4.34.0
  2. Hugging Face CLI: For downloading the model and installer.

Deployment

Qwen3-ASR-1.7B (W4A16)

  1. Download the installer qwen3-asr-w4a16-runner-0.1.0-Linux.sh from Files and version tab under w4a16/binaries/rcar-x5hv1/xOS-v4.34/ folder.
  2. Copy the installer to the X5H board and run the installer.

```bash

bash ./qwen3-asr-w4a16-runner-0.1.0-Linux.sh --prefix=./ --exclude-subdir --skip-license

```

  1. Download GGUF files Qwen3-ASR-1.7B-FP16.gguf and mmproj-Qwen3-ASR-1.7b-FP16.gguf from Files and version tab under fp16 folder and copy to the installed directory on the X5H board.
  2. Download the W4A16 coefficients from w4a16/coefficients/ and copy to the installed directory.
  3. Expected directory structure on the X5H board.

```bash

qwen3-asr-w4a16-runner

├── Qwen3-ASR-1.7B-FP16.gguf

├── mmproj-Qwen3-ASR-1.7b-FP16.gguf

├── firmwares

├── kernel_modules

├── qwen3-asr-w4a16

├── qwen3-asr-w4a16-runner

├── scripts

├── setup_npu.sh

└── test_audio

└── sample_en.wav

```

Inference - Qwen3-ASR-1.7B (W4A16)

bash ./setup_npu.sh
./qwen3-asr-w4a16-runner -m Qwen3-ASR-1.7B-FP16.gguf -v mmproj-Qwen3-ASR-1.7b-FP16.gguf -w test_audio/sample_en.wav -g ./ -s

Qwen3-ASR-1.7B (FP16)

  1. Download the installer qwen3-asr-runner-0.1.0-Linux.sh from Files and version tab under fp16/binaries/rcar-x5hv1/xOS-v4.34/ folder.
  2. Copy the installer to the X5H board and run the installer.

```bash

bash ./qwen3-asr-runner-0.1.0-Linux.sh --prefix=./ --exclude-subdir --skip-license

```

  1. Download GGUF files Qwen3-ASR-1.7B-FP16.gguf and mmproj-Qwen3-ASR-1.7b-FP16.gguf from Files and version tab under fp16 folder and copy to the installed directory on the X5H board.
  2. Expected directory structure on the X5H board.

```bash

qwen3-asr-runner

├── Qwen3-ASR-1.7B-FP16.gguf

├── mmproj-Qwen3-ASR-1.7b-FP16.gguf

├── firmwares

├── kernel_modules

├── qwen3-asr

├── qwen3-asr-runner

├── scripts

├── setup_npu.sh

└── test_audio

└── sample_en.wav

```

Inference - Qwen3-ASR-1.7B (FP16)

bash ./setup_npu.sh
./qwen3-asr-runner -m Qwen3-ASR-1.7B-FP16.gguf -v mmproj-Qwen3-ASR-1.7b-FP16.gguf -w test_audio/sample_en.wav -g ./ -s

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