Phi 4 Multimodal Instruct
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 23 Jul 2026. How this is checked
Phi-4-multimodal-instruct-NVFP4 is an NVIDIA-optimized, quantized version of the Phi-4 multimodal model. It supports text, vision, and other modalities under an instruction-tuned framework. Released under a permissive license that allows commercial use and derivative works, it is designed for local inference on compatible hardware.
Inferred · not functionally tested
Overview
3 featuresPurpose: Running efficient multimodal AI models locally with reduced memory and compute requirements.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: unknown · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: WEB · deployment: browser, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
In the Quantised & converted weights space, Phi 4 Multimodal Instruct takes a focused approach. Inferred · not functionally tested: It focuses on running efficient multimodal AI models locally with reduced memory and compute requirements. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: Phi 4 Multimodal Instruct is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the web and API.
It is developed by NVIDIA (United States), and it first shipped in 2024. Development happens publicly on GitHub with 3.3k stars and 350 commits in the last 90 days. Inferred · not functionally tested: Among its 3 catalogued features are multimodal understanding, instruction following, and NVFP4 quantization.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multimodal understanding
- Instruction following
- NVFP4 quantization
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- openai
- bgpt- in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed23 Jul · 11:30 UTCnvidia/Phi-4-multimodal-instruct-NVFP4 seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Phi 4 Multimodal Instruct
- What is Phi 4 Multimodal Instruct?
- Inferred · not functionally tested: Phi 4 Multimodal Instruct focuses on running efficient multimodal AI models locally with reduced memory and compute requirements. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Phi 4 Multimodal Instruct for?
- Inferred · not functionally tested: Phi 4 Multimodal Instruct is an open-source project built for AI developers and researchers.
- Is Phi 4 Multimodal Instruct free?
- Basis unknown · not verified: Yes — Phi 4 Multimodal Instruct is open source under the Apache-2.0 license and free to use.
- What platforms does Phi 4 Multimodal Instruct run on?
- Basis unknown · not verified: Phi 4 Multimodal Instruct runs on the web and API.
- Is Phi 4 Multimodal Instruct still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 350 commits in the last 90 days.
- What are alternatives to Phi 4 Multimodal Instruct?
- Similar projects tracked by PulseGate include Phi 4 Multimodal Instruct, Phi 4 Reasoning Plus, and Phi 4 Mini Instruct.Phi 4 Multimodal InstructPhi 4 Reasoning PlusPhi 4 Mini Instruct
- Who develops Phi 4 Multimodal Instruct?
- Phi 4 Multimodal Instruct is developed by NVIDIA, based in the United States.
- When did Phi 4 Multimodal Instruct launch?
- Phi 4 Multimodal Instruct first shipped in 2024.
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