khoben/whisper-ggml
automatic-speech-recognition model by khoben
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Model card & documentation
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Three quantized, multilingual OpenAI Whisper models in the GGML file layout used by whisper.cpp, provided as standalone reusable speech-recognition artifacts. None is an English-only (.en) variant. This repository redistributes unmodified upstream model files. Every model is a byte-for-byte copy of the file of the same name in ggerganov/whisper.cpp at revision 5359861c739e955e79d9a303bcbc70fb988958b1. The repository owner did not train or author the models, convert them, or re-quantize them. Each SHA-256 matches the upstream Hugging Face LFS object identifier at that revision. The Q5 artifacts remain available for rollback. The Q80 files were copied from the same pinned upstream revision; downloaded bytes were independently hashed and their GGML headers identify Q80 (ftype 2007). SHA256SUMS records the model and…
Read the full model card ↗ · Preview checked 2026-11-01T01:17:28.282Z
Inside the original model card — Document outline
- Multilingual Whisper Base, Small and Turbo (GGML)
- Files
- Provenance
- Intended use
- Limitations
- Attribution and license
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
khoben/whisper-ggml is a automatic-speech-recognition model repository published by khoben on Hugging Face. The source reports the ggml library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- automatic-speech-recognition
- Library
- ggml
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-10-11T06:13:15.000Z
- Last modified
- 2026-10-11T06:13:39.000Z
Compatibility and lineage
Reported languages: multilingual
Reported base models: openai/whisper-base, openai/whisper-small, openai/whisper-large-v3-turbo
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.
Use and evaluate
Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.
No model weights are downloaded or executed by AltAPIs. Never enable remote model code without reviewing it.
Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-11T06:41:09.807Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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