liquid/lfm-2-24b-a2b
32,768 context · $0.03/M input tokens · $0.12/M output tokens
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.
Pago por uso
Sin costos iniciales, paga solo por lo que uses
Usa los siguientes ejemplos de código para integrar con nuestra API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="liquid/lfm-2-24b-a2b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.
| Specification | Value |
|---|---|
| Provider | Liquid |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 32768 tokens |
| Max Output | tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.0 |
| Output | $0.1 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: liquid/lfm-2-24b-a2b
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="liquid/lfm-2-24b-a2b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "liquid/lfm-2-24b-a2b",
"messages": [{"role": "user", "content": "Hello!"}]
}'liquid/lfm-2-24b-a2b
LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per token, it delivers high-quality generation while maintaining low inference costs. The model fits within 32 GB of RAM, making it practical to run on consumer laptops and desktops without sacrificing capability.
Entrada
$0.03 /M
Salida
$0.12 /M
Contexto
33K
Accede a Lfm 2 24b A2b mediante nuestra API unificada — compatible con OpenAI, sin arranques en frío, precios transparentes.
Precios en WaveSpeedAI: $0.03 por millón de tokens de entrada y $0.12 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.
Lfm 2 24b A2b admite hasta 33K tokens de contexto y hasta — tokens de salida por solicitud.
Sí. WaveSpeedAI expone Lfm 2 24b A2b a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.
Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar Lfm 2 24b A2b antes de pagar por token.