What are the hardware requirements for Qwen3.5 35B A3B Sceptic V3 1M W4A16?

Qwen3.5 35B A3B Sceptic V3 1M W4A16 requires approximately 26.1 GB of VRAM and supports a context window of 1024K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.5 35B A3B Sceptic V3 1M W4A16 and how large is it?

Qwen3.5 35B A3B Sceptic V3 1M W4A16 is developed by kataguru, a model with 35b 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 Qwen3.5 35B A3B Sceptic V3 1M W4A16?

Qwen3.5 35B A3B Sceptic V3 1M W4A16 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.5 35B A3B Sceptic V3 1M W4A16 by kataguru — VRAM 26.1GB, 1024K context

Name: Qwen3.5 35B A3B Sceptic V3 1M W4A16
Author: kataguru

Qwen3.5 35B A3B Sceptic V3 1M W4A16 is an open-source language model by kataguru. Features: 35b LLM, VRAM: 26.1GB, Context: 1024K, License: apache-2.0, LLM Explorer Score: 0.31.

Awq Base model:quantized:qwen/qwen... Base model:qwen/qwen3.5-35b-a3... Compressed-tensors Conversational En Fi Finnish Gguf Image-text-to-text Kataguru Moe Mtp Multimodal Ocr Qwen3.5 Qwen3 5 moe Reasoning Region:us Safetensors Sharded Tensorflow Uncensored Vision

Model Card on HF 🤗: https://huggingface.co/kataguru/Qwen3.5-35B-A3B-Sceptic-v3-1M-W4A16

Qwen3.5 35B A3B Sceptic V3 1M W4A16 Parameters and Internals

LLM Name	Qwen3.5 35B A3B Sceptic V3 1M W4A16
Repository 🤗	https://huggingface.co/kataguru/Qwen3.5-35B-A3B-Sceptic-v3-1M-W4A16
Model Name	Kataguru Sceptic 35B-A3B MoE v3.0 Uncensored
Model Creator	kataguru
Base Model(s)	Qwen/Qwen3.5-35B-A3B-Base Qwen/Qwen3.5-35B-A3B-Base
Model Size	35b
Required VRAM	26.1 GB
Updated	2026-09-30
Maintainer	kataguru
Model Type	qwen3_5_moe
Model Files	4.5 GB: 1-of-6 4.5 GB: 2-of-6 4.5 GB: 3-of-6 4.5 GB: 4-of-6 4.5 GB: 5-of-6 3.6 GB: 6-of-6
Supported Languages	fi en
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Context Length	1048576
Model Max Length	1048576
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.5 35B A3B Sceptic V3 1M W4A16 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 Qwen3.5 35B A3B Sceptic V3 1M W4A16

Best Alternatives	Context / RAM	Downloads	Likes
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	112	1
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Ornith 1.0 35B	0K / 70.4 GB	1546301	506
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen3.6 35B A3B NVFP4 Fast	0K / 23.6 GB	463661	98

Note: green Score (e.g. "73.2") means that the model is better than kataguru/Qwen3.5-35B-A3B-Sceptic-v3-1M-W4A16.