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

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

Phi 4 Mini Instruct Abliterated is developed by OpenIntelligenceNet, 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 Instruct Abliterated?

Phi 4 Mini Instruct 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 Instruct Abliterated by OpenIntelligenceNet — VRAM 7.7GB, 128K context

Name: Phi 4 Mini Instruct Abliterated
Author: OpenIntelligenceNet

Phi 4 Mini Instruct Abliterated is an open-source language model by OpenIntelligenceNet. Features: 3.8b LLM, VRAM: 7.7GB, Context: 128K, License: mit, Instruction-Based.

Abliterated Base model:finetune:microsoft/... Base model:microsoft/phi-4-min... Conversational Custom code En Endpoints compatible Heretic Instruct Phi-4 Phi-4-mini Phi3 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/OpenIntelligenceNet/Phi-4-mini-instruct-Abliterated

Phi 4 Mini Instruct Abliterated Parameters and Internals

LLM Name	Phi 4 Mini Instruct Abliterated
Repository 🤗	https://huggingface.co/OpenIntelligenceNet/Phi-4-mini-instruct-Abliterated
Base Model(s)	Phi 4 Mini Instruct microsoft/Phi-4-mini-instruct
Model Size	3.8b
Required VRAM	7.7 GB
Updated	2026-11-12
Maintainer	OpenIntelligenceNet
Model Type	phi3
Instruction-Based	Yes
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	5.22.2
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Vocabulary Size	200064

Rank the Phi 4 Mini Instruct Abliterated 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 Instruct 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
Torchlight Phi4 Mini	128K / 7.7 GB	1637	1
Speedmark Phi4 Mini	128K / 7.7 GB	467	1
...i Instruct W4a16 Llmcompressor	128K / 2.9 GB	191	1
...Instruct Autoround Safetensors	128K / 2.1 GB	37	0
Phi 3 Mini 128K Instruct	128K / 7.7 GB	7	0
Phi 3 Mini 128K Instruct	128K / 7.7 GB	11	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 OpenIntelligenceNet/Phi-4-mini-instruct-Abliterated.