moss-transcribe.cpp-gguf is an open-weights audio model for speech recognition from mudler, published on Hugging Face as mudler/moss-transcribe.cpp-gguf. The recommended 768 MB Q6_K file needs at least 8 GB of memory (a file size estimate, not a tested run). Hugging Bay hosts 1 file for this model. License: Apache 2.0.
What we checked
File: check availability in Files.
Memory: Fit unknown. File size needed to check fit.
Last recorded run: none for this selected file.
Recorded checks do not guarantee safety or performance on your computer.
See file checks and sourcesQuick answer: compatibility and sources
Can I run moss-transcribe.cpp-gguf on my computer?
It depends on your memory, processor, file format and runtime. A download is not confirmed by the current file evidence; inspect the file record before trying it. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.
moss-transcribe.cpp-gguf is an open-weights audio model for speech recognition. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.
As of the recorded file availability check on .
Recorded SHA-256 for moss-transcribe-q4_0.gguf: 571dc83e4dd4567bcf2070151d209454be4f6396d98b590ab92dfb49cddde178. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.
Page text updated .
Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .
Key facts
- Catalog record
- Summarizes upstream metadata; it is not itself a download or run receipt.
- File evidence
- Lists exact filenames, availability and any recorded SHA-256 for individual files.
- Run evidence
- Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
- Checksum scope
- SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.
Evidence you can inspect (plain text)
- This page’s quick answer names the file record for hf-model-mudler-moss-transcribe-cpp-gguf.
- Open /artifact/hf-model-mudler-moss-transcribe-cpp-gguf/files for exact filenames, availability and any recorded SHA-256 for this model.
- Open /evidence/artifacts/hf-model-mudler-moss-transcribe-cpp-gguf for run-readiness evidence tied to that record; absent receipts stay unmeasured.
- Open /api/artifacts/hf-model-mudler-moss-transcribe-cpp-gguf/card.md for machine-readable source facts (not a runtime test).
- A matching checksum on this page fingerprints only the named bytes shown in file evidence.
Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.
Which date applies to which fact
- File availability check:
- Committed page-copy sources:
- Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
- Run receipts: Only on /evidence pages when recorded; otherwise unmeasured
Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.
Requirements and source record
mudler/moss-transcribe.cpp-ggufContent controls: not assessed.
The catalog lists this model for transcribing speech. Catalog sources: license label, model card license, base model, task label, model card task.
Recorded model facts
- Repository
- mudler/moss-transcribe.cpp-gguf
- Task
- automatic-speech-recognition
- License
- apache-2.0
- Framework
- moss-transcribe.cpp
11 files, 5.96 GB in total.
- Format
- GGUF
Fit and run
Fit We can't estimate memory for this model yet.
Check fit
Where this number comes from
moss-transcribe-q4_0.gguf~1 GB estimated RAMmoss-transcribe-f16.gguf~3 GB estimated RAMmoss-transcribe-q4_k.gguf~1 GB estimated RAMmoss-transcribe-q5_0.gguf~1 GB estimated RAMmoss-transcribe-q5_k.gguf~1 GB estimated RAMmoss-transcribe-q6_k.gguf~1 GB estimated RAMmoss-transcribe-q8_0.gguf~2 GB estimated RAM
Disk space on this computer is not measured.
File size multiplied by 1.3 provides an estimate of memory needed. Runtime, context length and other apps may need more. This is not a tested run.
Use another tool
Download a compatible GGUF file first. Tool and model compatibility vary.
- Ollama: write a Modelfile with FROM pointing to the GGUF, then run
ollama create my-model -f Modelfileandollama run my-model. - llama.cpp: install llama.cpp and load the GGUF with
llama-cli -mfollowed by its file path; use the model’s chat template if available. - LM Studio: import the GGUF from the downloaded file and load it in the app.
Files
All files and download checks →Where this information comes from
What's included
Download availability is being checked.
About this model
External Hugging Face catalog record for mudler/moss-transcribe.cpp-gguf. Task: automatic speech recognition. Library: moss transcribe.cpp. Base model: OpenMOSS-Team/MOSS-Transcribe-Diarize. Popularity signal at import: 1,857 downloads and 13 likes.
Quick facts
- Hosted here
- Download availability is being checked.
- Full repo upstream
- 5.96 GB
- Recommended file
- 768.1 MB (Q6_K) · moss-transcribe-q6_k.gguf
- Format
- GGUF
- File hashes
- Hashes recorded. Date not recorded.
License & source
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- speech recognition
- Hosted here
- 1 file, 768.1 MB
- Full repo upstream
- 5.96 GB
- Recommended file
- 768.1 MB (Q6_K) · moss-transcribe-q6_k.gguf
- Files
- 1 hosted of 11 listed
- Download
- Download here (1 hosted file)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
mudler/moss-transcribe.cpp-gguf is an open-weights audio model for speech recognition published by mudler, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for automatic speech recognition: mudler/moss-transcribe.cpp-gguf · moss transcribe.cpp
Can I use it commercially?
It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: 1 file, 768.1 MB. Full repo upstream: 5.96 GB. The recommended download, moss-transcribe-q6_k.gguf (Q6_K), is 768.1 MB.
What can I download here?
Hosted here: 1 file, 768.1 MB. Full repo upstream: 5.96 GB. The original release is at https://huggingface.co/mudler/moss-transcribe.cpp-gguf.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 1 hosted file carries a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-mudler-moss-transcribe-cpp-gguf/safety on Hugging Bay.
Will mudler/moss-transcribe.cpp-gguf run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.
Repack of openmoss-team/moss-transcribe-diarize (from the publisher card on Hugging Face). This does not mean the files match the original weights.
2 other repacks declare the same base on their cards.
Device fit from run reports
No device run reports recorded yet. Device fit has not been measured.
Run report details
Results describe the reported file and hardware, not a guarantee for your machine. Community reports have not been independently checked.
Run reports as JSON