# Edge computing

Skywork Skywork OR1 7B GGUF
Skywork-OR1-7B is a 7B-parameter large language model offering multiple quantization versions to accommodate different hardware requirements.
Large Language Model
S
bartowski
634
1
Phi 4 Mini Reasoning GGUF
MIT
Phi-4-mini-reasoning is a lightweight open model based on synthetic data, focusing on high-quality, dense reasoning data, and further fine-tuned to enhance mathematical reasoning capabilities.
Large Language Model Supports Multiple Languages
P
unsloth
21.71k
27
Smollm 135M Instruct
Apache-2.0
A lightweight instruction fine-tuned language model optimized for mobile deployment
Large Language Model
S
litert-community
131
1
Glm Edge V 5b
Other
GLM-Edge-V-5B is a 5-billion-parameter multimodal model that supports image and text inputs, capable of performing image understanding and text generation tasks.
Image-to-Text
G
THUDM
4,357
12
Deberta V3 Xsmall Zeroshot V1.1 All 33
MIT
This is a small and efficient zero-shot classification model, fine-tuned based on microsoft/deberta-v3-xsmall, specifically designed for edge devices or in-browser use cases.
Text Classification Transformers English
D
MoritzLaurer
96.01k
4
Xtremedistil L6 H256 Zeroshot V1.1 All 33
MIT
This is an ultra-compact, high-performance zero-shot classification model designed specifically for edge devices and browser applications.
Text Classification Transformers English
X
MoritzLaurer
593
6
Mobilebert Sql Injection Detect
Apache-2.0
A lightweight model based on MobileBERT for detecting SQL injection attacks in input strings, suitable for edge computing scenarios.
Text Classification Transformers English
M
cssupport
12.97k
8
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase