Bonsai-27B-GGUF
lmstudio-community · Kit
A GGUF conversion of the 27B Bonsai model for LM Studio, with a 3.80 GB Q1_0 language file and a 0.93 GB BF16 vision projector. Tested for text, vision and par…
A demo where you upload an audio file of animal sounds and ask questions about it in a chat. It runs the NatureLM-audio model and opens in a browser with nothing to install.
NatureLM-Audio is a kit in the Research category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download EarthSpeciesProject/NatureLM-Audio --repo-type space --local-dir NatureLM-Audio cd NatureLM-Audio
NatureLM-Audio is a demo Space for the NatureLM-audio model. You upload an audio file that holds animal vocalizations and ask questions about it in a chat. It is built for bioacoustic data, such as field recordings of animal calls.
Researchers and students who work with recordings of animals will get the most from it. The README names no customers, so the rows below are judgment from what the demo does.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Research | Bioacoustics researchers | Ask the model questions about recordings from the field | Uploading a recording and asking what it hears |
| Conservation | Wildlife monitoring teams | Get a quick read on a recording before detailed analysis | Checking a clip before sending it to an expert |
| Education | Biology teachers and students | Explore animal sounds by asking questions in plain language | Asking what a short clip contains |
| Software | Audio-model developers | See how a chat interface is built around an audio model | Reading app.py in the repository |
You can skip it if you want to analyze speech or music, since the README is about animal vocalizations.
Use it in a browser tab on Hugging Face, or build a copy in Docker on your own computer.
| Use case | Who | What they get back |
|---|---|---|
| Ask about an animal recording | Researchers | An answer in the chat about the audio you uploaded |
| Try the model without installing | Anyone with a browser | A working demo, with the model loading on first use |
| Run a Docker copy | Developers | The app on port 7860 of their own machine |
Using the Space online needs nothing. A local copy needs Docker and Python with pip, because the repository builds from a Dockerfile.
pip install -U huggingface_hub hf download EarthSpeciesProject/NatureLM-Audio --repo-type space --local-dir NatureLM-Audio cd NatureLM-Audio docker build -t naturelm-audio .
The model named in the record has private at the end of its name, so a local copy may not be able to load it. The README says the app then runs in demo mode.
Open the Space page, upload an audio file with animal sounds and type your question in the chat. The model loads on first use, which can take a few minutes, and later questions are faster. On a local copy, start the container and open port 7860 in your browser.
docker run -it -p 7860:7860 naturelm-audio
| Tool | What it does |
|---|---|
| Audio upload | Takes the file that holds the animal vocalizations |
| Chat | The place where you ask questions about the audio |
| Demo mode | What the app runs if the model fails to load |
Upload a short recording from a forest and ask: "What animal sounds are in this clip?" The chat answers about the audio. The README gives no sample answers, so judge the reply by listening to the clip yourself.
Start with a short clip you know well, such as a single bird call, and ask a simple question. You can then judge whether the answer is right. Expect a wait on your first question while the model loads.
The app loads the model lazily, on the first interaction rather than at start-up, to avoid timeouts on Hugging Face Spaces, and it keeps the model loaded afterward. The Space builds from a Dockerfile, listens on port 7860 and runs on a100-large hardware.
A demo where you upload an audio file of animal sounds and ask questions about it in a chat. It runs the NatureLM-audio model and opens in a browser with nothing to install.
Made by EarthSpeciesProject on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: NatureLM-Audio is a demo Space for the NatureLM-audio model. You upload an audio file that holds animal vocalizations and ask questions about it in a chat. It is built for bioacoustic data, such as field recordings of animal calls.
Who it suits: Researchers and students who work with recordings of animals will get the most from it. The README names no customers, so the rows below are judgment from what the demo does.
Industry | Who uses it | How they use it | Example
Research | Bioacoustics researchers | Ask the model questions about recordings from the field | Uploading a recording and asking what it hears
Conservation | Wildlife monitoring teams | Get a quick read on a recording before detailed analysis | Checking a clip before sending it to an expert
Education | Biology teachers and students | Explore animal sounds by asking questions in plain language | Asking what a short clip contains
Software | Audio-model developers | See how a chat interface is built around an audio model | Reading app.py in the repository
You can skip it if you want to analyze speech or music, since the README is about animal vocalizations.
Where to use it: Use it in a browser tab on Hugging Face, or build a copy in Docker on your own computer.
Use case | Who | What they get back
Ask about an animal recording | Researchers | An answer in the chat about the audio you uploaded
Try the model without installing | Anyone with a browser | A working demo, with the model loading on first use
Run a Docker copy | Developers | The app on port 7860 of their own machine
How to set it up: Using the Space online needs nothing. A local copy needs Docker and Python with pip, because the repository builds from a Dockerfile.
pip install -U huggingface_hub
hf download EarthSpeciesProject/NatureLM-Audio --repo-type space --local-dir NatureLM-Audio
cd NatureLM-Audio
docker build -t naturelm-audio .
The model named in the record has private at the end of its name, so a local copy may not be able to load it. The README says the app then runs in demo mode.
How to use it: Open the Space page, upload an audio file with animal sounds and type your question in the chat. The model loads on first use, which can take a few minutes, and later questions are faster. On a local copy, start the container and open port 7860 in your browser.
docker run -it -p 7860:7860 naturelm-audio
Tool | What it does
Audio upload | Takes the file that holds the animal vocalizations
Chat | The place where you ask questions about the audio
Demo mode | What the app runs if the model fails to load
Example: Upload a short recording from a forest and ask: "What animal sounds are in this clip?" The chat answers about the audio. The README gives no sample answers, so judge the reply by listening to the clip yourself.
For newcomers and experts: Start with a short clip you know well, such as a single bird call, and ask a simple question. You can then judge whether the answer is right. Expect a wait on your first question while the model loads.
The app loads the model lazily, on the first interaction rather than at start-up, to avoid timeouts on Hugging Face Spaces, and it keeps the model loaded afterward. The Space builds from a Dockerfile, listens on port 7860 and runs on a100-large hardware.
You upload a clip of animal sounds
You ask a question in the chat
The model loads on first use
It answers about the audio
Good to know:
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 5 KB
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