🧠
Moss Transcribe Diarize model by Openmoss Team
⭐ 61.4
🧠
Model

Moss Transcribe Diarize

by Openmoss Team openmoss-team/moss-transcribe-diarize
Free2AITools Nexus Index
61.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 56
P: Popularity 61
R: Recency 97
Q: Quality 65
Tech Context
0.91B Params
4.096K Ctx
Vital Performance
198.9K DL / 30D
Source β†’
Low FNI signal 61.4 FNI Score
Tiny 0.91B Params
4k Context
Hot 198.9K Downloads
8G GPU ~2GB Est. VRAM
Dense MOSSTRANSCRIBEDIARIZEFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID openmoss-team/moss-transcribe-diarize
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{openmoss_team_moss_transcribe_diarize,
  author = {Openmoss Team},
  title = {Moss Transcribe Diarize Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize}},
  note = {Accessed via Free2AITools.}
}
APA Style
Openmoss Team. (2026). Moss Transcribe Diarize [Model]. Free2AITools. https://huggingface.co/OpenMOSS-Team/MOSS-Transcribe-Diarize

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run moss-transcribe-diarize
πŸ€— HF Download
huggingface-cli download openmoss-team/moss-transcribe-diarize
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 56
Popularity (P) 61
Recency (R) 97
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Moss Transcribe Diarize: Authority (A:56), Popularity (P:61), Recency (R:97), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
198.9KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--openmoss-team--moss-transcribe-diarize
slug
openmoss-team--moss-transcribe-diarize
source
huggingface
author
Openmoss Team
license
Apache-2.0
tags
moss_transcribe_diarize, text-generation, transformers, safetensors, moss, audio, speech, asr, diarization, timestamp-asr, long-form-audio, multimodal, multilingual, custom_code, audio-text-to-text, en, zh, arxiv:2601.01554, license:apache-2.0, region:us, eval-results

βš™οΈ Technical Specs

architecture
MossTranscribeDiarizeForConditionalGeneration
params billions
0.91
context length
4,096
pipeline tag
audio-text-to-text
vram gb
2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
198,869
stars
null
forks
null

Data indexed from public sources. Updated daily.