What are the hardware requirements for Qwen3.6 35B A3B Domain Aggressive?

Qwen3.6 35B A3B Domain Aggressive requires approximately 69.5 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 Domain Aggressive and how large is it?

Qwen3.6 35B A3B Domain Aggressive is developed by Reflex-jr, 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 Domain Aggressive?

Qwen3.6 35B A3B Domain Aggressive 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 Domain Aggressive by Reflex-jr — VRAM 69.5GB, 256K context

Name: Qwen3.6 35B A3B Domain Aggressive
Author: Reflex-jr

Qwen3.6 35B A3B Domain Aggressive is an open-source language model by Reflex-jr. Features: 34.7b LLM, VRAM: 69.5GB, Context: 256K, MoE, LLM Explorer Score: 0.23.

Moe Qwen3 5 moe text Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive

Qwen3.6 35B A3B Domain Aggressive Parameters and Internals

LLM Name	Qwen3.6 35B A3B Domain Aggressive
Repository 🤗	https://huggingface.co/Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive
Model Size	34.7b
Required VRAM	69.5 GB
Updated	2026-05-24
Maintainer	Reflex-jr
Model Type	qwen3_5_moe_text
Model Files	4.3 GB: 1-of-16 4.5 GB: 2-of-16 5.0 GB: 3-of-16 4.0 GB: 4-of-16 4.5 GB: 5-of-16 5.0 GB: 6-of-16 4.0 GB: 7-of-16 4.5 GB: 8-of-16 5.0 GB: 9-of-16 4.0 GB: 10-of-16 4.5 GB: 11-of-16 5.0 GB: 12-of-16 4.0 GB: 13-of-16 4.5 GB: 14-of-16 5.0 GB: 15-of-16 1.7 GB: 16-of-16
Model Architecture	Qwen3_5MoeForCausalLM
Context Length	262144
Model Max Length	262144
Transformers Version	5.7.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.6 35B A3B Domain Aggressive 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

Best Alternatives to Qwen3.6 35B A3B Domain Aggressive

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 35B A3B Abliterated V4	256K / 69.3 GB	984972	8
SIQ 1 35B	256K / 69.3 GB	795	102
Qwen35B Agent R2	256K / 69.3 GB	2861	6
Grug 35B A3B	256K / 69 GB	1252	31
Qwen35B Agent R2 Abliterated	256K / 69.3 GB	1564	0
...A3B W8a8 Llmcompressor V0.12.0	256K / 19.4 GB	541	1
Ornith 1.5 35B A3B Abliterated	256K / 69.3 GB	211	1
Aurora Code 1	256K / 69 GB	443	5
Darwin 36B Opus	256K / 69 GB	400	87
Ornstein3.6 35B A3B	256K / 69.3 GB	902	8

Note: green Score (e.g. "73.2") means that the model is better than Reflex-jr/Qwen3.6-35B-A3B-Domain-Aggressive.