foryoung365/qwen3-asr-1.7b-q4_k_m-gguf Q4_K_M GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.
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foryoung365/qwen3-asr-1.7b-q4_k_m-gguf overview
GGUF export of Qwen/Qwen3-ASR-1.7B for llama.cpp. Files included: Both files are required for audio transcription with llama.cpp multimodal support.
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151
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0
Pipeline
automatic-speech-recognition
Library
—
Visibility
Public
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Open
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Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "apache-2.0",
"language": [
"zh",
"en"
],
"tags": [
"gguf",
"llama.cpp",
"automatic-speech-recognition",
"speech-to-text",
"qwen3-asr"
],
"base_model": [
"Qwen/Qwen3-ASR-1.7B"
],
"pipeline_tag": "automatic-speech-recognition",
"frontmatter": {
"license": "apache-2.0",
"language": [
"zh",
"en"
],
"tags": [
"gguf",
"llama.cpp",
"automatic-speech-recognition",
"speech-to-text",
"qwen3-asr"
],
"base_model": [
"Qwen/Qwen3-ASR-1.7B"
],
"pipeline_tag": "automatic-speech-recognition"
},
"hero_image_url": "",
"summary": "GGUF export of Qwen/Qwen3-ASR-1.7B for llama.cpp. Files included: Both files are required for audio transcription with llama.cpp multimodal support.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: apache-2.0\nlanguage:\n- zh\n- en\ntags:\n- gguf\n- llama.cpp\n- automatic-speech-recognition\n- speech-to-text\n- qwen3-asr\nbase_model:\n- Qwen/Qwen3-ASR-1.7B\npipeline_tag: automatic-speech-recognition\n---\n\n# Qwen3-ASR-1.7B-Q4_K_M-GGUF\n\nGGUF export of `Qwen/Qwen3-ASR-1.7B` for `llama.cpp`.\n\nFiles included:\n\n- `Qwen3-ASR-1.7B-Q4_K_M.gguf`\n- `mmproj-Qwen3-ASR-1.7B-Q4_K_M.gguf`\n\nBoth files are required for audio transcription with `llama.cpp` multimodal support.\n\n## Tested command\n\n```powershell\nllama-mtmd-cli.exe ^\n -m Qwen3-ASR-1.7B-Q4_K_M.gguf ^\n --mmproj mmproj-Qwen3-ASR-1.7B-Q4_K_M.gguf ^\n --audio sample.wav ^\n -p \"Transcribe the audio.\" ^\n -t 8 -n 256 --temp 0\n```\n\n## Notes\n\n- Main model was converted from the original Hugging Face checkpoint to GGUF, then quantized to `Q4_K_M`.\n- `mmproj` was exported from the original checkpoint as `F16`, then quantized to `Q4_K_M`.\n- This pair was locally tested with `llama-mtmd-cli` on Chinese audio.\n",
"related_quantizations": []
},
"tags": [
"gguf",
"llama.cpp",
"automatic-speech-recognition",
"speech-to-text",
"qwen3-asr",
"zh",
"en",
"base_model:Qwen/Qwen3-ASR-1.7B",
"base_model:quantized:Qwen/Qwen3-ASR-1.7B",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 151,
"gated": false,
"private": false,
"last_modified": "2026-04-15T08:01:21.000Z",
"created_at": "2026-04-15T07:59:31.000Z",
"pipeline_tag": "automatic-speech-recognition",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "69df4563dd6bf7c15e8f71c6",
"id": "foryoung365/Qwen3-ASR-1.7B-Q4_K_M-GGUF",
"modelId": "foryoung365/Qwen3-ASR-1.7B-Q4_K_M-GGUF",
"sha": "f7466a88158b1942014ddd174226c67973e9a83f",
"createdAt": "2026-04-15T07:59:31.000Z",
"lastModified": "2026-04-15T08:01:21.000Z",
"author": "foryoung365",
"downloads": 151,
"likes": 0,
"gated": false,
"private": false,
"pipeline_tag": "automatic-speech-recognition",
"library_name": "",
"siblings_count": 4
}