What are the hardware requirements for Qwopus3.6 35B A3B Coder?

Qwopus3.6 35B A3B Coder requires approximately 72.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.6 35B A3B Coder and how large is it?

Qwopus3.6 35B A3B Coder is developed by Jackrong, 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 Qwopus3.6 35B A3B Coder?

Qwopus3.6 35B A3B Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.6 35B A3B Coder by Jackrong — VRAM 72.2GB

Name: Qwopus3.6 35B A3B Coder
Author: Jackrong

Qwopus3.6 35B A3B Coder is an open-source language model by Jackrong. Features: 35b LLM, VRAM: 72.2GB, License: apache-2.0, LLM Explorer Score: 0.29.

Agent Base model:adapter:jackrong/qw... Base model:jackrong/qwopus3.6-... Coder Conversational En Endpoints compatible Es Function-calling Image-text-to-text Ja Logic Long-context Lora Moe Qwen3 5 moe Qwen3 6 Region:us Ru Safetensors Sft Sharded Tensorflow Thinking-off Tool-use Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.6-35B-A3B-Coder

Qwopus3.6 35B A3B Coder Parameters and Internals

LLM Name	Qwopus3.6 35B A3B Coder
Repository 🤗	https://huggingface.co/Jackrong/Qwopus3.6-35B-A3B-Coder
Model Name	/root/.cache/kagglehub/models/jackjirong2/qwen3.6-35b-a3b/transformers/default/1
Base Model(s)	Jackrong/Qwopus3.6-35B-A3B-v1 unsloth/Qwen3.6-35B-A3B Jackrong/Qwopus3.6-35B-A3B-v1 unsloth/Qwen3.6-35B-A3B
Model Size	35b
Required VRAM	72.2 GB
Updated	2026-08-08
Maintainer	Jackrong
Model Type	qwen3_5_moe
Model Files	4.0 GB: 1-of-26 1.3 GB: 2-of-26 3.4 GB: 3-of-26 3.4 GB: 4-of-26 3.4 GB: 5-of-26 4.0 GB: 6-of-26 1.1 GB: 7-of-26 4.0 GB: 8-of-26 1.1 GB: 9-of-26 4.0 GB: 10-of-26 1.1 GB: 11-of-26 3.4 GB: 12-of-26 1.6 GB: 13-of-26 3.4 GB: 14-of-26 1.6 GB: 15-of-26 4.0 GB: 16-of-26 1.1 GB: 17-of-26 4.0 GB: 18-of-26 1.1 GB: 19-of-26 3.4 GB: 20-of-26 1.6 GB: 21-of-26 3.4 GB: 22-of-26 3.4 GB: 23-of-26 3.4 GB: 24-of-26 3.8 GB: 25-of-26 2.2 GB: 26-of-26
Supported Languages	en zh es ru ja
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.6 35B A3B Coder 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

Quantized Models of the Qwopus3.6 35B A3B Coder

Model	Likes	Downloads	VRAM
Qwopus3.6 35B A3B Coder 8bit	4	740	37 GB
Qwopus3.6 35B A3B Coder 4bit	3	686	20 GB
Qwopus3.6 35B A3B Coder 6bit	2	256	28 GB

Best Alternatives to Qwopus3.6 35B A3B Coder

Best Alternatives	Context / RAM	Downloads	Likes
...AgentWorld 35B A3B Abliterated	256K / 69.2 GB	962	18
Ornith 1.5 35B A3B NPU2	256K / GB	118	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	1587153	507
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
Xor	0K / 70.2 GB	1446	43

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.6-35B-A3B-Coder.