What are the hardware requirements for Josiefied Qwen2.5 1.5B Instruct Abliterated V1?

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 requires approximately 3.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Josiefied Qwen2.5 1.5B Instruct Abliterated V1 and how large is it?

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 is developed by Goekdeniz-Guelmez, a model with 1.5b 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 Qwen2.5 1.5B Instruct Abliterated V1?

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 by Goekdeniz-Guelmez — VRAM 3.5GB, 32K context

Name: Josiefied Qwen2.5 1.5B Instruct Abliterated V1
Author: Goekdeniz-Guelmez

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 is an open-source language model by Goekdeniz-Guelmez. Features: 1.5b LLM, VRAM: 3.5GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

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Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1

Josiefied Qwen2.5 1.5B Instruct Abliterated V1 Parameters and Internals

LLM Name	Josiefied Qwen2.5 1.5B Instruct Abliterated V1
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1
Base Model(s)	Qwen/Qwen2.5-1.5B Qwen/Qwen2.5-1.5B
Model Size	1.5b
Required VRAM	3.5 GB
Updated	2026-07-24
Maintainer	Goekdeniz-Guelmez
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.5 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Josiefied Qwen2.5 1.5B Instruct Abliterated V1 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 Qwen2.5 1.5B Instruct Abliterated V1

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	128	0
Gte Qwen2 1.5B Instruct	128K / 7.1 GB	1154027	236
AceInstruct 1.5B	128K / 3.5 GB	139	22
... Abliterated TIES Qwen2.5 1.5B	128K / 3.5 GB	15	0
Saba1 1.8B	128K / 3.6 GB	6	1
Miniclaus Qw1.5B UNAMGS	128K / 3.5 GB	12	8
Bellatrix 1.5B XElite	128K / 3.5 GB	19	3
GCIRS Reasoning 1.5B R1	128K / 3.5 GB	9	1
...illed Scout 1.5B Instruct Gen1	128K / 3.5 GB	10	0
Deepthink 1.5B Open PRM	128K / 7.1 GB	12	0

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen2.5-1.5B-Instruct-abliterated-v1.