What are the hardware requirements for Josiefied Qwen3 4B Instruct 2507 Abliterated V2?

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 requires approximately 8.1 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Josiefied Qwen3 4B Instruct 2507 Abliterated V2 and how large is it?

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 is developed by Goekdeniz-Guelmez, a model with 4b 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 Josiefied Qwen3 4B Instruct 2507 Abliterated V2?

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 by Goekdeniz-Guelmez — VRAM 8.1GB, 256K context

Name: Josiefied Qwen3 4B Instruct 2507 Abliterated V2
Author: Goekdeniz-Guelmez

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 is an open-source language model by Goekdeniz-Guelmez. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Instruction-Based, LLM Explorer Score: 0.22.

Arxiv:2512.18901 Base model:finetune:heretic-or... Base model:heretic-org/qwen3-4... Chat Conversational Endpoints compatible Instruct Qwen3 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2

Josiefied Qwen3 4B Instruct 2507 Abliterated V2 Parameters and Internals

LLM Name	Josiefied Qwen3 4B Instruct 2507 Abliterated V2
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2
Base Model(s)	Qwen3 4B Instruct 2507 Heretic heretic-org/Qwen3-4B-Instruct-2507-heretic
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-07-30
Maintainer	Goekdeniz-Guelmez
Model Type	qwen3
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Josiefied Qwen3 4B Instruct 2507 Abliterated V2 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 Josiefied Qwen3 4B Instruct 2507 Abliterated V2

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
Mgi Assistant V1 Qwen3 4B	256K / 8.1 GB	669	1
FastContext 1.0 4B RL	256K / 8.1 GB	4559	61
Qwen3 4B Instruct 2507 FP8	256K / 5.2 GB	1100744	78
Fable Traces	256K / 8.1 GB	172	210
... Matched Dense Seed11 Step 008	256K / 8.1 GB	161	1
Jamjuri EDGE Preview 100	256K / 8 GB	455	1
Voho Saudi Chat 4B	256K / 8 GB	468	1
... History Tutor 4B Experimental	256K / 8 GB	263	1

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-4B-Instruct-2507-abliterated-v2.