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Jan-v3.5-4B-gguf

by Jan.ai

AI Model
Low Confidence

Jan-v3.5-4B-gguf is a lightweight, open-source large language model (LLM) designed for local deployment and offline use. It is part of the Jan.ai ecosystem, which focuses on providing privacy-preserving AI solutions that run entirely on a user's device. The model is optimized for efficiency, with 4 billion parameters, and is distributed in the GGUF format, a quantization format developed by the llama.cpp project. This format enables the model to run on consumer-grade hardware, including CPUs, without requiring high-end GPUs. Jan-v3.5-4B-gguf is suitable for tasks such as text generation, conversation, summarization, and code assistance, while prioritizing user privacy and data control.

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Transparency Score

Weighted across four pillars · updated May 1, 2026

Overall grade
30% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed
Openness Assessment
43%Partially Open
6 Open
0 Partial
0 Closed
8 Unknown
Availability
4/5 Open
Documentation
1/6 Open
Access Methods
1/3 Open
Data from EU Open Source AI Index (DOI: 10.5281/zenodo.15386042), licensed under CC-BY 4.0

Capabilities

Text Generation
Conversation
Summarization
Code Generation
Translation

Vendor Information

Complete information about the vendor/provider of this AI application

Jan.aiView all products →
Menlo Research Pte Ltd
Contact Information
www.jan.ai/
hello@jan.ai
Registered Address
Singapore, Singapore

EU AI Act Provider Information

Verification Status:
Unverified
Menlo Research Pte Ltd
Singapore, Singapore
hello@jan.ai
Compliance Documents
CE Marking: Not Applicable

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

Work at Jan.ai? Claim this listing to correct or complete the data.

Added: May 1, 2026
Updated: May 1, 2026

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