🧠
Voce Ckpt 200 model by Elginarda Hg
⭐ 39.7
🧠
Model

Voce Ckpt 200

by Elginarda Hg elginarda-hg/voce-ckpt-200
Free2AITools Nexus Index
39.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 76
Q: Quality 65
Tech Context
1.92 Params
32.768K Ctx
Vital Performance
58 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.7 FNI Score
Tiny 1.92B Params
32k Context
58 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3TTSFORCONDITIONALGENERATION Architecture
Restricted CC License
Model Information Summary
Entity Passport
Registry ID elginarda-hg/voce-ckpt-200
License CC-BY-NC-SA-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{elginarda_hg_voce_ckpt_200,
  author = {Elginarda Hg},
  title = {Voce Ckpt 200 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/elginarda-hg/voce-ckpt-200}},
  note = {Accessed via Free2AITools.}
}
APA Style
Elginarda Hg. (2026). Voce Ckpt 200 [Model]. Free2AITools. https://huggingface.co/elginarda-hg/voce-ckpt-200

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run voce-ckpt-200
πŸ€— HF Download
huggingface-cli download elginarda-hg/voce-ckpt-200
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) 0
Popularity (P) 6
Recency (R) 76
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Voce Ckpt 200: Authority (A:0), Popularity (P:6), Recency (R:76), 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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πŸš€ What's Next?

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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.

Social Proof

HuggingFace Hub
58Downloads
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--elginarda-hg--voce-ckpt-200
slug
elginarda-hg--voce-ckpt-200
source
huggingface
author
Elginarda Hg
license
CC-BY-NC-SA-4.0
tags
transformers, safetensors, qwen3_tts, text-generation, tts, qwen, qwen3, qwen3-tts, voice-design, merged-lora, fine-tuned, audio, text-to-speech, en, base_model:macminix/qwen3_voice_design_t1, license:cc-by-nc-sa-4.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3TTSForConditionalGeneration
params billions
1.92
context length
32,768
pipeline tag
text-to-speech
vram gb
3.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
58

Data indexed from public sources. Updated daily.