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LFM2-24B-A2B-Preview in GGUF format for use with
NexaSDK
, with support for Qualcomm NPU, GPU, and CPU inference.
Model
This repository contains the LFM2 24B parameter model with A2B quantization in GGUF format. It is intended for on-device inference via NexaSDK on Android, Windows, and other supported platforms.
NPU Setup
Hardware:
Qualcomm Snapdragon 8 Gen 4 (or other Snapdragon SoCs with NPU as documented by Nexa).
Option B — Build from source:
Clone the repo, open
bindings/android
in Android Studio, then build and run. See the
Android demo README
for full steps.
Select the model
Open the model selector (dropdown next to the model name) and choose
LFM2-24B-A2B-Preview-GGUF
.
Download
Tap
Download
to fetch the model to your device. Wait until the download finishes.
Load
Tap
Load
. A
load model config
dialog appears: choose
CPU
,
GPU
, or
NPU
(for Qualcomm NPU), then tap
SURE
. Once the model is loaded, the chat area becomes available.
Chat
Type your message in the input field at the bottom, then tap
Send
to get a response. Use
Clear
to clear the input or conversation as needed.
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NexaAI LFM2-24B-A2B-GGUF online free url in huggingface.co:
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