Skip to content
ModelListedExternal
Download

Qwen3 Asr 1.7b Ja Anime GGUF

GGUF quantizations of jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf for use with CrispASR.

Sourcehuggingface.co/cstr/qwen3-asr-1.7b-ja-anime-GGUF/tree/1906c1f812b598d5e9dae091c79656d73b41ec28
KindOtherBase modeljaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hfVersionRevision 1906c1f

Model source

Kind
Other
File size
1.39–2.33 GB
Base model
jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf
Version
vRevision 1906c1f
Updated
Sep 14, 2026
Downloads
1.5K
Source
Hugging Face

Source description

Qwen3-ASR-1.7B-JA-Anime-Galgame — GGUF

GGUF quantizations of jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf for use with CrispASR.

This is a Japanese anime/galgame fine-tune of Qwen3-ASR-1.7B. It supports 30+ languages with enhanced performance on Japanese anime/game speech.

Files

FileQuantSizeNotes
qwen3-asr-1.7b-ja-anime-q4_k.ggufQ4_K~1.3 GBRecommended for most use cases
qwen3-asr-1.7b-ja-anime-q8_0.ggufQ8_0~2.5 GBHigher quality, more memory

Usage with CrispASR

# Auto-download and transcribe
crispasr -m qwen3-ja-anime -f audio.wav

# Or specify the model path directly
crispasr -m qwen3-asr-1.7b-ja-anime-q4_k.gguf -f audio.wav --backend qwen3

Conversion

Converted from safetensors using:

python models/convert-qwen3-asr-to-gguf.py \
    --input jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf \
    --output qwen3-asr-1.7b-ja-anime-f16.gguf
crispasr-quantize qwen3-asr-1.7b-ja-anime-f16.gguf qwen3-asr-1.7b-ja-anime-q4_k.gguf q4_k

Architecture

Same as Qwen3-ASR-1.7B:

  • Audio encoder: 24-layer Whisper-style encoder (d=1024, 16 heads)
  • Projector: 2-layer MLP (1024 → GELU → 2048)
  • LLM decoder: 28-layer Qwen3 (d=2048, 16Q/8KV heads, SwiGLU)
  • Vocab: 151,936 tokens (GPT-2 BPE)

License

Apache 2.0 (following the base model license)

Provenance and EU AI Act Art. 53 note

  • Upstream model: jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf — published by jaykwok.
  • Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
  • What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
  • Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
  • Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.

Sources

1 source
Hugging FacePrimaryVersion 1906c1f812b598d5e9dae091c79656d73b41ec28
huggingface.co/cstr/qwen3-asr-1.7b-ja-anime-GGUF/tree/1906c1f812b598d5e9dae091c79656d73b41ec28

Verified Sep 14

Model artifacts

2 artifacts

qwen3-asr-1.7b-ja-anime-q4_k.gguf

gguf · 1.39 GB · SHA-256 da00cec55688…ccd9 · Hugging Face

Download

qwen3-asr-1.7b-ja-anime-q8_0.gguf

gguf · 2.33 GB · SHA-256 f173ceddb15b…96a1 · Hugging Face

Download

Source excerpts

2 excerpts
ReadmeSep 14huggingface.co/cstr/qwen3-asr-1.7b-ja-anime-GGUF

--- license: apache-2.0 language: - ja - en - zh tags: - asr - speech-recognition - gguf - qwen3 base_model: jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf pipeline_tag: automatic-speech-recognition --- # Qwen3-ASR-1.7B-JA-Anime-Galgame — GGUF GGUF quantizations of [jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf](https://huggingface.co/jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf) for use with [CrispASR](https://github.com/CrispStrobe/CrispASR). This is a Japanese anime/galgame fine-tune of Qwen3-ASR-1.7B. It supports 30+ languages with enhanced performance on Japanese anime/game speech. ## Files | File | Quant | Size | Notes | |------|-------|------|-------| | `qwen3-asr-1.7b-ja-anime-q4_k.gguf` | Q4_K | ~1.3 GB | Recommended for most use cases | | `qwen3-asr-1.7b-ja-anime-q8_0.gguf` | Q8_0 | ~2.5 GB | Higher quality, more memory | ## Usage with CrispASR ```bash # Auto-download and transcribe crispasr -m qwen3-ja-anime -f audio.wav # Or specify the model path directly crispasr -m qwen3-asr-1.7b-ja-anime-q4_k.gguf -f audio.wav --backend qwen3 ``` ## Conversion Converted from safetensors using: ```bash python models/convert-qwen3-asr-to-gguf.py \ --input jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf \ --output qwen3-asr-1.7b-ja-anime-f16.gguf crispasr-quantize qwen3-asr-1.7b-ja-anime-f16.gguf qwen3-asr-1.7b-ja-anime-q4_k.gguf q4_k ``` ## Architecture Same as Qwen3-ASR-1.7B: - Audio encoder: 24-layer Whisper-style encoder (d=1024, 16 heads) - Projector: 2-layer MLP (1024 → GELU → 2048) - LLM decoder: 28-layer Qwen3 (d=2048, 16Q/8KV heads, SwiGLU) - Vocab: 151,936 tokens (GPT-2 BPE) ## License Apache 2.0 (following the base model license) ## Provenance and EU AI Act Art. 53 note - **Upstream model:** [jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf](https://huggingface.co/jaykwok/Qwen3-ASR-1.7B-JA-Anime-Galgame-hf) — published by `jaykwok`. - **Upstream licence:** `apache-2.0`. This repository redistributes under the same terms; it grants no rights the upstream licence does not. - **What was done here:** format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs. - **Training data:** documented — where it is documented at all — by the upstream provider; see the upstream model card. No training...

NoteSep 14huggingface.co/cstr/qwen3-asr-1.7b-ja-anime-GGUF

Source context: 1463 downloads · 3 likes · Pipeline automatic-speech-recognition · Repo cstr/qwen3-asr-1.7b-ja-anime-GGUF