Phi 4
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 3 Aug 2026. How this is checked
This Hugging Face repository by MaziyarPanahi contains GGUF quantized versions of Microsoft's Phi-4 language model. The files support various quantization levels (Q2_K through Q8_0 and FP16) for running the model locally using tools like llama.cpp or Ollama. It enables efficient inference of a capable small language model on CPUs and consumer GPUs without requiring high-end hardware or cloud services.
Inferred · not functionally tested
Overview
4 featuresPurpose: Running powerful language models efficiently on consumer-grade hardware without cloud dependency.
Inferred · not functionally tested
Audience: Developers and AI enthusiasts
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
Phi 4 is a Quantised & converted weights project. Inferred · not functionally tested: It focuses on running powerful language models efficiently on consumer-grade hardware without cloud dependency. Inferred · not functionally tested: Phi 4 is an open-source project aimed at developers and AI enthusiasts. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: Phi 4 is available on the web, the command line, and API.
Maziyar Panahi builds and maintains Phi 4, and it first shipped in 2023. The project is developed in the open on GitHub with 122.5k stars and 1.2k commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Quantized Models, Local Inference, and Multiple Precision Levels.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Quantized Models
- Local Inference
- Multiple Precision Levels
- GGUF Format
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- multiple
- bLangChain in the HTML
- local_oss
- bollama in the HTML · bllama in the HTML · bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed3 Aug · 08:12 UTCMaziyarPanahi/phi-4-GGUF seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Phi 4
- What is Phi 4?
- Inferred · not functionally tested: Phi 4 focuses on running powerful language models efficiently on consumer-grade hardware without cloud dependency. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Phi 4 for?
- Inferred · not functionally tested: Phi 4 is an open-source project built for developers and AI enthusiasts.
- Does Phi 4 have a free plan?
- Basis unknown · not verified: Yes — Phi 4 is open source under the MIT license and free to use.
- What platforms does Phi 4 run on?
- Basis unknown · not verified: Phi 4 runs on the web, the command line, and API.
- Is Phi 4 still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 1.2k commits in the last 90 days.
- What are alternatives to Phi 4?
- Similar projects tracked by PulseGate include Phi 4 Mini Instruct, Phi 4 Mini Instruct, and Phi 3.5 Mini Instruct.Phi 4 Mini InstructPhi 4 Mini InstructPhi 3.5 Mini Instruct
- Who makes Phi 4?
- Phi 4 is developed by Maziyar Panahi.
- How long has Phi 4 been around?
- Phi 4 first shipped in 2023.
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