🧠
Model

Qwen3 Tts 12hz 1 7b Base

by Deapi Ai hf-model--deapi-ai--qwen3-tts-12hz-1-7b-base
Nexus Index
37.7 Top 10%
S: Semantic 50
A: Authority 0
P: Popularity 9
R: Recency 92
Q: Quality 50
Tech Context
7 Params
32.768K Ctx
Vital Performance
103 DL / 30D
0.0%
Audited 37.7 FNI Score
7B Params
32k Context
103 Downloads
8G GPU ~8GB Est. VRAM
Dense QWEN3TTSFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--deapi-ai--qwen3-tts-12hz-1-7b-base
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~7.8GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{hf_model__deapi_ai__qwen3_tts_12hz_1_7b_base,
  author = {Deapi Ai},
  title = {Qwen3 Tts 12hz 1 7b Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/deAPI-ai/qwen3-tts-12hz-1-7b-base}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Deapi Ai. (2026). Qwen3 Tts 12hz 1 7b Base [Model]. Free2AITools. https://huggingface.co/deAPI-ai/qwen3-tts-12hz-1-7b-base

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run qwen3-tts-12hz-1-7b-base
🤗 HF Download
huggingface-cli download deapi-ai/qwen3-tts-12hz-1-7b-base

âš–ī¸ Nexus Index V2.0

37.7
TOP 10% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 9
Recency (R) 92
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3 Tts 12hz 1 7b Base: Semantic (S:50), Authority (A:0), Popularity (P:9), Recency (R:92), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

Qwen3 TTS 12Hz 1.7B Base

Qwen3-TTS Base model for voice cloning. Clone any voice from reference audio.

Author

Qwen

License

Apache License Version 2.0


Hosted by deAPI-ai for use with GamerHash AI

âš ī¸ 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 →

📝 Limitations & Considerations

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

Social Proof

HuggingFace Hub
103Downloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--deapi-ai--qwen3-tts-12hz-1-7b-base
slug
deapi-ai--qwen3-tts-12hz-1-7b-base
source
huggingface
author
Deapi Ai
license
Apache-2.0
tags
safetensors, qwen3_tts, text-to-speech, license:apache-2.0, region:us

âš™ī¸ Technical Specs

architecture
Qwen3TTSForConditionalGeneration
params billions
7
context length
32,768
pipeline tag
text-to-speech
vram gb
7.8
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
103
stars
0
forks
null

Data indexed from public sources. Updated daily.