NVIDIA/audio-flamingo
PyTorch implementation of Audio Flamingo: Series of Advanced Audio Understanding Language Models observed · 2026-08-28
Health v2 · maintenance only
50/100
- Activity 57
- Release rhythm 35
- Longevity 59
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 835
- days_rel: n/a
- days_push: 261
- n_releases_24m: 0
Adoption not part of the score
1182 stars · 104 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
NVIDIA's PyTorch implementation of the Audio Flamingo series of large audio-language models (AF1, AF2, AF3, and Music Flamingo) for audio understanding, captioning, question answering, and reasoning. It includes model checkpoints, training recipes, and datasets for long-audio understanding, multi-turn audio chat, and voice-to-voice interaction.
Use cases
- caption audio files automatically
- ask questions about audio recordings
- build an audio question answering model
- understand long audio up to 10 minutes
- generate music and song descriptions
- run a multimodal audio chat model locally
- fine-tune an audio language model on my own data
- reason about speech and sounds with an LLM
When to choose
- you need state-of-the-art open audio understanding with QA, captioning, or reasoning
- you want to research or fine-tune large audio-language models with released training recipes and datasets
- you need long-audio (up to 10 minutes) comprehension or multi-turn audio chat
- you have GPU resources and want fully open checkpoints
When to avoid
- you need a lightweight production speech-to-text service rather than a research LALM
- you lack GPU hardware, since these are multi-billion-parameter models
- you need a permissively licensed dependency - the repo lists no explicit license
- you only need simple audio feature extraction or classic ASR
Facets
library · maturity active
machine-learning audio-processing speech-recognition nlp llm-inference llm-training artificial-intelligence large-language-models speech-processing machine-learning python audio-language-model multimodal audio-captioning audio-question-answering pytorch nvidia music-understanding research-models audio gpu linux
7 sources
- readme: https://github.com/NVIDIA/audio-flamingo · fetched 2026-08-28 · 309654aa17e8
- homepage: https://research.nvidia.com/labs/adlr/AF3/ · fetched 2026-08-29 · e706548cb762
- site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-policy · fetched 2026-08-29 · 5362c58d0750
- site_page: https://www.nvidia.com/en-us/about-nvidia/privacy-center · fetched 2026-08-29 · b098377da9cc
- site_page: https://www.nvidia.com/en-us/about-nvidia/terms-of-service · fetched 2026-08-29 · 85469b6ff0a1
- site_page: https://www.nvidia.com/en-us/about-nvidia/accessibility · fetched 2026-08-29 · 8f61ce4143ec
- site_page: https://www.nvidia.com/en-us/about-nvidia/company-policies · fetched 2026-08-29 · b169611fd7d6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| NVIDIA/audio-flamingo | main | 50 |
For agents
markdown · JSON · MCP: product_card(name="NVIDIA/audio-flamingo")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem