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

Phi 4 Mini Reasoning Abliterated 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 Abliterated and how large is it?

Phi 4 Mini Reasoning Abliterated is developed by DuoNeural, 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 Abliterated?

Phi 4 Mini Reasoning Abliterated 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 Abliterated by DuoNeural — VRAM 7.7GB, 128K context

Name: Phi 4 Mini Reasoning Abliterated
Author: DuoNeural

Phi 4 Mini Reasoning Abliterated is an open-source language model by DuoNeural. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, LLM Explorer Score: 0.23.

Abliteration Base model:finetune:microsoft/... Base model:microsoft/phi-4-min... Conversational Duoneural En Microsoft P34 Phi3 Phi4 Pre-abliteration-dissociation Reasoning Region:us Safetensors Sharded Tensorflow Weak-gate

Model Card on HF 🤗: https://huggingface.co/DuoNeural/Phi-4-Mini-Reasoning-Abliterated

Phi 4 Mini Reasoning Abliterated Parameters and Internals

LLM Name	Phi 4 Mini Reasoning Abliterated
Repository 🤗	https://huggingface.co/DuoNeural/Phi-4-Mini-Reasoning-Abliterated
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	DuoNeural
Model Type	phi3
Model Files	4.9 GB: 1-of-2 2.8 GB: 2-of-2
Supported Languages	en
Model Architecture	Phi3ForCausalLM
License	mit
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	200064
Torch Data Type	bfloat16

Rank the Phi 4 Mini Reasoning Abliterated 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

Best Alternatives to Phi 4 Mini Reasoning Abliterated

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
Speedmark Phi4 Mini	128K / 7.7 GB	693	1
Hit Promo Reasoner	128K / 7.7 GB	409	2
Lexi Coder V4.4	128K / 7.7 GB	465	1
...i Instruct W4a16 Llmcompressor	128K / 2.9 GB	191	1
Phi 4 Mini Reasoning	128K / 7.7 GB	57222	231
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
Phi 4 Mini Abliterated	128K / 7.7 GB	33	1

Note: green Score (e.g. "73.2") means that the model is better than DuoNeural/Phi-4-Mini-Reasoning-Abliterated.