What is mms-1b-zdj?
39/100
Trust Score (E)
🔴 Avoid
mms-1b-zdj is a automatic-speech-recognition that An AI model. It has a Nerq Trust Score of 39/100 (E). 1 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 239 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
39
TRUST SCORE
E
GRADE
1
STARS
239
DOWNLOADS
What mms-1b-zdj Does
mms-1b-zdj is a model in the automatic-speech-recognition category. An AI model. It is published by an independent developer and has no specified license. With 1 GitHub stars and 239 downloads, it has a small community of users and contributors.
Who Should Use mms-1b-zdj
mms-1b-zdj is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | automatic-speech-recognition |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=rifailabs-mms-1b-zdj
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| cohere-transcribe-03-2026 | 48 | 1.1K |
| nemotron-3.5-asr-streaming-0.6b | 46 | 900 |
| CrisperWhisper | 46 | 336 |
| granite-4.0-1b-speech | 46 | 250 |
| VibeVoice-ASR-Streaming-7B | 70 | 158 |
Frequently Asked Questions
What is mms-1b-zdj used for?
mms-1b-zdj is a automatic-speech-recognition tool. An AI model.
Is mms-1b-zdj free?
License: Check project page. mms-1b-zdj has 1 GitHub stars.
Is mms-1b-zdj safe?
mms-1b-zdj has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to mms-1b-zdj?
Top alternatives: cohere-transcribe-03-2026, nemotron-3.5-asr-streaming-0.6b, CrisperWhisper. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.