What are the hardware requirements for Albedo Qwen3.6 35B Wonder E3?

Albedo Qwen3.6 35B Wonder E3 requires approximately 71.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Albedo Qwen3.6 35B Wonder E3 and how large is it?

Albedo Qwen3.6 35B Wonder E3 is developed by wondercat, 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 Albedo Qwen3.6 35B Wonder E3?

Albedo Qwen3.6 35B Wonder E3 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Albedo Qwen3.6 35B Wonder E3 by wondercat — VRAM 71.8GB

Name: Albedo Qwen3.6 35B Wonder E3
Author: wondercat

Albedo Qwen3.6 35B Wonder E3 is an open-source language model by wondercat. Features: 35b LLM, VRAM: 71.8GB, LLM Explorer Score: 0.28.

Qwen3 5 moe Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/wondercat/albedo-qwen3.6-35b-wonder-e3

Albedo Qwen3.6 35B Wonder E3 Parameters and Internals

LLM Name	Albedo Qwen3.6 35B Wonder E3
Repository 🤗	https://huggingface.co/wondercat/albedo-qwen3.6-35b-wonder-e3
Model Size	35b
Required VRAM	71.8 GB
Updated	2026-09-09
Maintainer	wondercat
Model Type	qwen3_5_moe
Model Files	4.5 GB: 1-of-17 4.3 GB: 2-of-17 4.5 GB: 3-of-17 4.5 GB: 4-of-17 4.5 GB: 5-of-17 4.8 GB: 6-of-17 4.3 GB: 7-of-17 4.3 GB: 8-of-17 4.8 GB: 9-of-17 4.3 GB: 10-of-17 4.7 GB: 11-of-17 4.4 GB: 12-of-17 4.6 GB: 13-of-17 4.4 GB: 14-of-17 4.3 GB: 15-of-17 4.6 GB: 16-of-17 0.0 GB: 17-of-17
Model Architecture	Qwen3_5MoeForConditionalGeneration
Model Max Length	262144
Transformers Version	4.57.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Albedo Qwen3.6 35B Wonder E3 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 Albedo Qwen3.6 35B Wonder E3

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.5 35B A3B NPU2	256K / GB	189	1
Qwen3.6 35B A3B	0K / 72.2 GB	5540855	2648
Qwen3.5 35B A3B	0K / 72.3 GB	2158511	1482
Ornith 1.0 35B	0K / 70.4 GB	2797648	506
Qwen3.6 35B A3B NVFP4	0K / 23.4 GB	8788684	482
Qwen3.6 35B A3B FP8	0K / 0.8 GB	8984811	343
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
Qwen AgentWorld 35B A3B	0K / 69.2 GB	66155	665
Qwen3.6 35B A3B NVFP4 Fast	0K / 23.6 GB	463661	98
Ornith 1.5 35B A3B	0K / 72.1 GB	1713	201

Note: green Score (e.g. "73.2") means that the model is better than wondercat/albedo-qwen3.6-35b-wonder-e3.