What are the hardware requirements for Qwen3.6 35B A3B Abliterated V4?

Qwen3.6 35B A3B Abliterated V4 requires approximately 69.3 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 Qwen3.6 35B A3B Abliterated V4 and how large is it?

Qwen3.6 35B A3B Abliterated V4 is developed by Bahushruth, a model with 34.7b 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 Qwen3.6 35B A3B Abliterated V4?

Qwen3.6 35B A3B Abliterated V4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 35B A3B Abliterated V4 by Bahushruth — VRAM 69.3GB, 256K context

Name: Qwen3.6 35B A3B Abliterated V4
Author: Bahushruth

Qwen3.6 35B A3B Abliterated V4 is an open-source language model by Bahushruth. Features: 34.7b LLM, VRAM: 69.3GB, Context: 256K, License: apache-2.0, MoE, LLM Explorer Score: 0.37.

Abliteration Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.6-35b-a3... Conversational Dataset:bahushruth/abliteratio... Dataset:mlabonne/harmless alpa... Endpoints compatible Moe Norm-preserving Qwen3 Qwen3 5 moe text Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/Bahushruth/Qwen3.6-35B-A3B-abliterated-v4

Qwen3.6 35B A3B Abliterated V4 Parameters and Internals

LLM Name	Qwen3.6 35B A3B Abliterated V4
Repository 🤗	https://huggingface.co/Bahushruth/Qwen3.6-35B-A3B-abliterated-v4
Base Model(s)	Qwen/Qwen3.6-35B-A3B Qwen/Qwen3.6-35B-A3B
Model Size	34.7b
Required VRAM	69.3 GB
Updated	2026-08-22
Maintainer	Bahushruth
Model Type	qwen3_5_moe_text
Model Files	49.7 GB: 1-of-2 19.6 GB: 2-of-2
Model Architecture	Qwen3_5MoeForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.10.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 35B A3B Abliterated V4 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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