What are the hardware requirements for Phi 4 Empathetic Abliterated?

Phi 4 Empathetic Abliterated requires approximately 29.5 GB of VRAM and supports a context window of 16K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Phi 4 Empathetic Abliterated and how large is it?

Phi 4 Empathetic Abliterated is developed by Sorawiz, a model with 14.7b 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 Empathetic Abliterated?

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

Phi 4 Empathetic Abliterated by Sorawiz — VRAM 29.5GB, 16K context

Name: Phi 4 Empathetic Abliterated
Author: Sorawiz

Phi 4 Empathetic Abliterated is an open-source language model by Sorawiz. Features: 14.7b LLM, VRAM: 29.5GB, Context: 16K, Merged, LLM Explorer Score: 0.16.

Merged Model Base model:ngxson/lora-phi-4-a... Base model:prithivmlmods/phi-4... Conversational Endpoints compatible Llama Lora Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Sorawiz/Phi-4-Empathetic-Abliterated

Phi 4 Empathetic Abliterated Parameters and Internals

LLM Name	Phi 4 Empathetic Abliterated
Repository 🤗	https://huggingface.co/Sorawiz/Phi-4-Empathetic-Abliterated
Base Model(s)	Phi 4 Empathetic LoRA Phi 4 Abliterated prithivMLmods/Phi-4-Empathetic ngxson/LoRA-phi-4-abliterated
Merged Model	Yes
Model Size	14.7b
Required VRAM	29.5 GB
Updated	2026-08-08
Maintainer	Sorawiz
Model Type	llama
Model Files	5.0 GB: 1-of-6 5.0 GB: 2-of-6 5.0 GB: 3-of-6 4.9 GB: 4-of-6 5.0 GB: 5-of-6 4.6 GB: 6-of-6
Model Architecture	LlamaForCausalLM
Context Length	16384
Model Max Length	16384
Transformers Version	4.46.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
LoRA Model	Yes
Torch Data Type	bfloat16

Rank the Phi 4 Empathetic 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 Empathetic Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
...kpoints 511 Onlytrainex Merged	31K / 29.4 GB	25	0
...ruct Extended 3500steps Merged	31K / 29.4 GB	71	0
E2 Phi4 Instruct NTK Scaled	31K / 29.4 GB	20	0
...ct NTK Scaled 1000steps Merged	31K / 29.4 GB	5	0
Phi 4	16K / 29.4 GB	1539	91
Luminis Phi 4	16K / 29.5 GB	1517	13
Tea	16K / 29.4 GB	324	2
Phi 4 Sce Exp V0.1	16K / 29.5 GB	9	1
Phi 4 RR Shoup	16K / 29.5 GB	6	2
Phi 4 RStock V0.1	16K / 29.5 GB	8	0

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