Phi 4 Mini Instruct
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 1 Aug 2026. How this is checked
This repository contains GGUF quantized versions of the Phi-4-mini-instruct model. Multiple quantization levels (Q2_K through Q8_0) are provided for different performance and memory trade-offs. The models are optimized for local inference using tools like llama.cpp.
Inferred · not functionally tested
Overview
3 featuresPurpose: Running lightweight instruction-tuned language models efficiently on consumer hardware using quantized GGUF files.
Inferred · not functionally tested
Audience: developers
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 Mini Instruct sits in PulseGate's Quantised & converted weights category. Inferred · not functionally tested: It focuses on running lightweight instruction-tuned language models efficiently on consumer hardware using quantized GGUF files. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: Phi 4 Mini Instruct is open source under the MIT license. Basis unknown · not verified: Phi 4 Mini Instruct is available on the web, the command line, and API.
Behind Phi 4 Mini Instruct is MaziyarPanahi, and it first shipped in 2023. Development happens publicly on GitHub with 122.3k stars and 1.2k commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 7 similar projects. Inferred · not functionally tested: Among its 3 catalogued features are Quantized Models, Instruct Tuning, and GGUF Format.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Quantized Models
- Instruct Tuning
- 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
- Indexed1 Aug · 10:35 UTCMaziyarPanahi/Phi-4-mini-instruct-GGUF seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Phi 4 Mini Instruct
- What does Phi 4 Mini Instruct do?
- Inferred · not functionally tested: Phi 4 Mini Instruct focuses on running lightweight instruction-tuned language models efficiently on consumer hardware using quantized GGUF files. It is catalogued under Quantised & converted weights on PulseGate.
- Who should use Phi 4 Mini Instruct?
- Inferred · not functionally tested: Phi 4 Mini Instruct is an open-source project built for developers.
- Is Phi 4 Mini Instruct free?
- Basis unknown · not verified: Yes — Phi 4 Mini Instruct is open source under the MIT license and free to use.
- What platforms does Phi 4 Mini Instruct run on?
- Basis unknown · not verified: Phi 4 Mini Instruct runs on the web, the command line, and API.
- Is Phi 4 Mini Instruct 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 Mini Instruct?
- Similar projects tracked by PulseGate include Phi 4 Mini Instruct, Phi 3.5 Mini Instruct, and Phi 4.Phi 4 Mini InstructPhi 3.5 Mini InstructPhi 4
- Who makes Phi 4 Mini Instruct?
- Phi 4 Mini Instruct is developed by MaziyarPanahi.
- How long has Phi 4 Mini Instruct been around?
- Phi 4 Mini Instruct first shipped in 2023.
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