What are the hardware requirements for Phi 4 Mini Reasoning Bf16?

Phi 4 Mini Reasoning Bf16 requires approximately 7.7 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 Reasoning Bf16 and how large is it?

Phi 4 Mini Reasoning Bf16 is developed by mlx-community, a model with 3.8b 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 Reasoning Bf16?

Phi 4 Mini Reasoning Bf16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Phi 4 Mini Reasoning Bf16 by mlx-community — VRAM 7.7GB, 128K context

Name: Phi 4 Mini Reasoning Bf16
Author: mlx-community

Phi 4 Mini Reasoning Bf16 is an open-source language model by mlx-community. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, LLM Explorer Score: 0.18.

Base model:finetune:microsoft/... Base model:microsoft/phi-4-min... Code Conversational En Math Mlx Phi3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-4-mini-reasoning-bf16

Phi 4 Mini Reasoning Bf16 Parameters and Internals

LLM Name	Phi 4 Mini Reasoning Bf16
Repository 🤗	https://huggingface.co/mlx-community/Phi-4-mini-reasoning-bf16
Base Model(s)	Phi 4 Mini Reasoning microsoft/Phi-4-mini-reasoning
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2026-07-30
Maintainer	mlx-community
Model Type	phi3
Model Files	5.3 GB: 1-of-2 2.4 GB: 2-of-2
Supported Languages	en
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.50.0
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	200064
Torch Data Type	bfloat16

Rank the Phi 4 Mini Reasoning Bf16 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Best Alternatives to Phi 4 Mini Reasoning Bf16

Best Alternatives	Context / RAM	Downloads	Likes
Phi 4 Mini Instruct	128K / 7.7 GB	514603	791
Phi 3.5 Mini Instruct	128K / 7.7 GB	1164079	999
Phi 3 Mini 128K Instruct	128K / 7.7 GB	233663	1700
Phi 4 Mini Reasoning	128K / 7.7 GB	57222	231
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
...i 4 Mini Reasoning Abliterated	128K / 7.7 GB	5	1
Phi 3 Mini 128K Instruct	128K / 7.7 GB	11	0
Phi 4 Mini Instruct Heretic	128K / 7.7 GB	13	0
Phi 4 Mini Reasoning Heretic	128K / 7.7 GB	32	5
Phi 3.5 Mini TitanFusion 0.1	128K / 7.7 GB	7	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Phi-4-mini-reasoning-bf16.