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liquid/lfm-2-24b-a2b

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.

定價

按用量付費

無需預付費用,僅按實際使用量付費

輸入$0.03 / M Tokens
輸出$0.12 / M Tokens

API 使用

使用以下程式碼範例整合我們的 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)

模型介紹

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

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.


Why It Looks Great

  • Large Language Model architecture for efficient processing
  • 32768 context window for long document handling
  • Competitive pricing at $0.0/$0.1 per million tokens

Key Features

  • Context Window: 32768 tokens
  • Max Output: N/A tokens
  • Vision: Supported
  • Function Calling: Supported

Specifications

SpecificationValue
ProviderLiquid
Model TypeLarge Language Model (LLM)
ArchitectureN/A
Context Window32768 tokens
Max Outputtokens
InputText
OutputText
VisionSupported
Function CallingSupported

Pricing

Token TypeCost per Million Tokens
Input$0.0
Output$0.1

How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: liquid/lfm-2-24b-a2b


API Usage

Python SDK

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

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!"}]
  }'

Notes

  • Model: liquid/lfm-2-24b-a2b
  • Provider: Liquid

資訊

提供商liquid
類型llm

支援功能

輸入
文字
輸出
文字
上下文32,768
最大輸出-
視覺-
函式呼叫-

API 存取指南

Base URLhttps://llm.wavespeed.ai/v1
API 端點chat/completions
Model IDliquid/lfm-2-24b-a2b

Lfm 2 24b A2b API

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.

輸入

$0.03 /M

輸出

$0.12 /M

上下文

33K

在 WaveSpeedAI 試用 Lfm 2 24b A2b

透過我們的統一 API 接入 Lfm 2 24b A2b — 相容 OpenAI、無冷啟動、透明計費。

關於 Lfm 2 24b A2b 的常見問題

Lfm 2 24b A2b API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $0.03,輸出每百萬 token $0.12。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

Lfm 2 24b A2b 的上下文視窗有多大?+

Lfm 2 24b A2b 每次請求最多支援 33K 上下文 token,輸出最多 — token。

Lfm 2 24b A2b 是否相容 OpenAI?+

是的。WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容端點提供 Lfm 2 24b A2b。將官方 OpenAI SDK 的 base URL 指向該位址,使用 WaveSpeedAI 的 API Key 即可,無需其他程式碼變更。

如何開始使用 Lfm 2 24b A2b?+

登入 WaveSpeedAI,在 Access Keys 建立 API Key,使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。新帳號將獲得免費額度,用於試用 Lfm 2 24b A2b。

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