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Model card on Hugging Face
Muse Glimmer
by Meta
Chat
Vision
Tools
Thinking
Muse Glimmer is Meta Superintelligence Labs' compact multimodal model — a dense vision-language transformer distilled for agentic work on consumer hardware. It pairs a text decoder with a dedicated perception encoder to read images alongside text, and targets fast local inference across a 128K-token context.
- Publisher
- Meta
- API model name
- muse-glimmer:30b
- Context window
- 128K tokens
- Sizes
- 30B
- Licence
- Apache 2.0
Run Muse Glimmer
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
Chat
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="muse-glimmer:30b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Vision
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="muse-glimmer:30b",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
],
}
],
)
print(response.choices[0].message.content)Run Muse Glimmer on your own UK infrastructure
Deploy a worker, install Muse Glimmer, and start serving it through one sovereign API endpoint.