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Model card on Hugging Face
LFM 2.5 VL
by Liquid AI
Chat
Vision
LFM 2.5 VL is Liquid AI's compact vision-language model, adding image understanding to the efficient LFM 2.5 line. Its small footprint suits multimodal assistants that need to run on-device or at low latency.
- Publisher
- Liquid AI
- Context window
- 125K tokens
- Sizes
- 1.6B
- Licence
- lfm1.0
Run LFM 2.5 VL
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="lfm2-5-vl:1.6b-q6_k",
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="lfm2-5-vl:1.6b-q6_k",
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 LFM 2.5 VL on your own UK infrastructure
Deploy a worker, install LFM 2.5 VL, and start serving it through one sovereign API endpoint.