Liquid's 40.3B Mixture of Experts (MoE) model. Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems.
LFMs are general-purpose AI models that can be used to model any kind of sequential data, including video, audio, text, time series, and signals.
See the launch announcement for benchmarks and more info.
OpenRouter provides an OpenAI-compatible completion API to 0 models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.
In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.
import OpenAI from "openai"
const openai = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: $OPENROUTER_API_KEY,
defaultHeaders: {
"HTTP-Referer": $YOUR_SITE_URL, // Optional, for including your app on openrouter.ai rankings.
"X-Title": $YOUR_APP_NAME, // Optional. Shows in rankings on openrouter.ai.
}
})
async function main() {
const completion = await openai.chat.completions.create({
model: "liquid/lfm-40b",
messages: [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
console.log(completion.choices[0].message)
}
main()fetch("https://openrouter.ai/api/v1/chat/completions", {
method: "POST",
headers: {
"Authorization": `Bearer ${OPENROUTER_API_KEY}`,
"HTTP-Referer": `${YOUR_SITE_URL}`, // Optional, for including your app on openrouter.ai rankings.
"X-Title": `${YOUR_SITE_NAME}`, // Optional. Shows in rankings on openrouter.ai.
"Content-Type": "application/json"
},
body: JSON.stringify({
"model": "liquid/lfm-40b",
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
});Olympia has created a Ruby SDK: OpenRouter Client
See the Request docs for all possible parameters, and Parameters for recommended values.