What are the hardware requirements for Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated?

Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated 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.

Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated by DavidAU — VRAM 8.1GB, 256K context

Name: Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated
Author: DavidAU

Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated is an open-source language model by DavidAU. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, Fine-Tuned, LLM Explorer Score: 0.2.

Abliterated Base model:finetune:teichai/qw... Base model:teichai/qwen3-4b-th... Conversational Decensored Endpoints compatible Finetuned Heretic Qwen3 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/DavidAU/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-Heretic-Abliterated

Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated Parameters and Internals

LLM Name	Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic Abliterated
Repository 🤗	https://huggingface.co/DavidAU/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-Heretic-Abliterated
Base Model(s)	TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill TeichAI/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill
Model Size	4b
Required VRAM	8.1 GB
Updated	2026-10-15
Maintainer	DavidAU
Model Type	qwen3
Model Files	5.0 GB: 1-of-2 3.1 GB: 2-of-2
Model Architecture	Qwen3ForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.0.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151936
Errors	replace

Rank the Qwen3 4B Thinking 2507 Claude 4.5 Opus High Reasoning Distill Heretic 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

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Oc E Non V1	256K / 8 GB	947	21
Qwen3 4B Instruct 2507	256K / 8.1 GB	3109972	911
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FastContext 1.0 4B SFT	256K / 8.1 GB	5735	357
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Qwen3 4B Thinking 2507	256K / 8.1 GB	291023	606
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...n3 4B Instruct 2507 Malevolent	256K / 8.1 GB	166	1

Note: green Score (e.g. "73.2") means that the model is better than DavidAU/Qwen3-4B-Thinking-2507-Claude-4.5-Opus-High-Reasoning-Distill-Heretic-Abliterated.