What are the hardware requirements for Phi 4 Mini Instruct Bnb 4bit?

Phi 4 Mini Instruct Bnb 4bit requires approximately 2.9 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 Mini Instruct Bnb 4bit and how large is it?

Phi 4 Mini Instruct Bnb 4bit is developed by aifeifei798, a model with 3.9b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Phi 4 Mini Instruct Bnb 4bit?

Phi 4 Mini Instruct Bnb 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 4 Mini Instruct Bnb 4bit by aifeifei798 — VRAM 2.9GB, 128K context

Name: Phi 4 Mini Instruct Bnb 4bit
Author: aifeifei798

Phi 4 Mini Instruct Bnb 4bit is an open-source language model by aifeifei798. Features: 3.9b LLM, VRAM: 2.9GB, Context: 128K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.17.

4-bit 4bit Base model:aifeifei798/phi-4-m... Base model:quantized:aifeifei7... Bitsandbytes Chat Code Conversational Custom code Endpoints compatible Instruct Math Microsoft Multilingual Phi Phi3 Phi4 Quantized Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/aifeifei798/Phi-4-mini-instruct-bnb-4bit

Phi 4 Mini Instruct Bnb 4bit Parameters and Internals

LLM Name	Phi 4 Mini Instruct Bnb 4bit
Repository 🤗	https://huggingface.co/aifeifei798/Phi-4-mini-instruct-bnb-4bit
Base Model(s)	Phi 4 Mini Instruct Bnb 4bit aifeifei798/Phi-4-mini-instruct-bnb-4bit
Model Size	3.9b
Required VRAM	2.9 GB
Updated	2026-06-06
Maintainer	aifeifei798
Model Type	phi3
Instruction-Based	Yes
Model Files	2.9 GB
Quantization Type	4bit
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.49.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<｜PAD▁TOKEN｜>
Vocabulary Size	200064
Torch Data Type	bfloat16

Rank the Phi 4 Mini Instruct Bnb 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Quantized Models of the Phi 4 Mini Instruct Bnb 4bit

Model	Likes	Downloads	VRAM
Phi 4 Mini Instruct Bnb 4bit	0	5	2 GB

Best Alternatives to Phi 4 Mini Instruct Bnb 4bit

Best Alternatives	Context / RAM	Downloads	Likes
...Mini Instruct Unsloth Bnb 4bit	128K / 3.2 GB	6780	22
Phi 4 Mini Instruct Bnb 4bit	128K / 2.9 GB	6866	6
...hi 3 Medium 128K Instruct 8bit	128K / 14.9 GB	18	2
...Mini 128K Instruct 4bit 64rank	128K / 2.4 GB	5	0
... 3 Mini 128K Instruct Bnb 4bit	128K / 2.3 GB	7	1
Phi 3 Medium 4K Instruct 8bit	4K / 14.9 GB	8	0
...3 Mini 4K Instruct 4bit 64rank	4K / 2.4 GB	7	0
Phi 3 Mini 4K Instruct Q4	4K / 2.3 GB	6	1
...hi 3 Mini 4K Instruct Bnb 4bit	4K / 2.3 GB	19	6
...hi 3 Mini 4K Instruct Bnb 4bit	4K / 2.3 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than aifeifei798/Phi-4-mini-instruct-bnb-4bit.