🧠
Higgs Tts 2 3b Base model by bosonai
⭐ 62.3
🧠
Model

Higgs Tts 2 3b Base

by bosonai bosonai/higgs-tts-2-3b-base
Free2AITools Nexus Index
62.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 57
P: Popularity 61
R: Recency 100
Q: Quality 65
Tech Context
5.77 Params
4.096K Ctx
Vital Performance
188.1K DL / 30D
Source β†’
Low FNI signal 62.3 FNI Score
5.77B Params
4k Context
Hot 188.1K Downloads
8G GPU ~6GB Est. VRAM
Dense HIGGSAUDIOV2FORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID bosonai/higgs-tts-2-3b-base
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~5.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{bosonai_higgs_tts_2_3b_base,
  author = {bosonai},
  title = {Higgs Tts 2 3b Base Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/bosonai/higgs-tts-2-3b-base}},
  note = {Accessed via Free2AITools.}
}
APA Style
bosonai. (2026). Higgs Tts 2 3b Base [Model]. Free2AITools. https://huggingface.co/bosonai/higgs-tts-2-3b-base

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run higgs-tts-2-3b-base
πŸ€— HF Download
huggingface-cli download bosonai/higgs-tts-2-3b-base
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) 57
Popularity (P) 61
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Higgs Tts 2 3b Base: Authority (A:57), Popularity (P:61), Recency (R:100), 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
188.1KDownloads
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--bosonai--higgs-tts-2-3b-base
slug
bosonai--higgs-tts-2-3b-base
source
huggingface
author
bosonai
license
Other
tags
transformers, safetensors, higgs_audio_v2, text-to-audio, text-to-speech, en, zh, de, ko, arxiv:2505.23009, license:other, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
HiggsAudioV2ForConditionalGeneration
params billions
5.77
context length
4,096
pipeline tag
text-to-speech
vram gb
5.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
188,096
stars
null
forks
null

Data indexed from public sources. Updated daily.