What are the hardware requirements for Josiefied Qwen3 1.7B Abliterated V1?

Josiefied Qwen3 1.7B Abliterated V1 requires approximately 3.4 GB of VRAM and supports a context window of 40K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Josiefied Qwen3 1.7B Abliterated V1 and how large is it?

Josiefied Qwen3 1.7B Abliterated V1 is developed by Goekdeniz-Guelmez, a model with 1.7b 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 Josiefied Qwen3 1.7B Abliterated V1?

Josiefied Qwen3 1.7B Abliterated V1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Josiefied Qwen3 1.7B Abliterated V1 by Goekdeniz-Guelmez — VRAM 3.4GB, 40K context

Name: Josiefied Qwen3 1.7B Abliterated V1
Author: Goekdeniz-Guelmez

Josiefied Qwen3 1.7B Abliterated V1 is an open-source language model by Goekdeniz-Guelmez. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, LLM Explorer Score: 0.18.

Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Chat Conversational Qwen3 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-1.7B-abliterated-v1

Josiefied Qwen3 1.7B Abliterated V1 Parameters and Internals

LLM Name	Josiefied Qwen3 1.7B Abliterated V1
Repository 🤗	https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-1.7B-abliterated-v1
Base Model(s)	Qwen/Qwen3-1.7B Qwen/Qwen3-1.7B
Model Size	1.7b
Required VRAM	3.4 GB
Updated	2026-08-08
Maintainer	Goekdeniz-Guelmez
Model Type	qwen3
Model Files	3.4 GB
Model Architecture	Qwen3ForCausalLM
Context Length	40960
Model Max Length	40960
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the Josiefied Qwen3 1.7B 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

Quantized Models of the Josiefied Qwen3 1.7B Abliterated V1

Model	Likes	Downloads	VRAM
...Qwen3 1.7B Abliterated V1 4bit	3	862	1 GB

Best Alternatives to Josiefied Qwen3 1.7B Abliterated V1

Best Alternatives	Context / RAM	Downloads	Likes
Lucy 128K	128K / 3.4 GB	123	112
Polaris 1.7B Preview	128K / 3.4 GB	73	8
DictaLM 3.0 1.7B Instruct	60K / 3.4 GB	2842	1
Qwen3 1.7B	40K / 4 GB	5633291	500
CORe Pico 4	40K / 3.4 GB	895	2
CORe Pico V3	40K / 3.4 GB	720	0
Qwen3 1.7B ONNX Web	40K / GB	178	1
KBevo Qwen3 1.7B SFT	40K / 3.4 GB	462	0
RIFA FLASH 1.7B	40K / 3.4 GB	583	0
DualMind TKD Agentic 1.7B	40K / 3.4 GB	1798	0

Note: green Score (e.g. "73.2") means that the model is better than Goekdeniz-Guelmez/Josiefied-Qwen3-1.7B-abliterated-v1.