What are the hardware requirements for Qwopus3.6 35B A3B Coder Bf16?

Qwopus3.6 35B A3B Coder Bf16 requires approximately 69.9 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 Bf16 and how large is it?

Qwopus3.6 35B A3B Coder Bf16 is developed by mlx-community, 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 Bf16?

Qwopus3.6 35B A3B Coder Bf16 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 Bf16 by mlx-community — VRAM 69.9GB

Name: Qwopus3.6 35B A3B Coder Bf16
Author: mlx-community

Qwopus3.6 35B A3B Coder Bf16 is an open-source language model by mlx-community. Features: 35b LLM, VRAM: 69.9GB, License: apache-2.0, Code Generating, LLM Explorer Score: 0.27.

Agent Base model:finetune:jackrong/q... Base model:jackrong/qwopus3.6-... Bf16 Codegen Coder Conversational En Es Function-calling Image-text-to-text Ja Long-context Mlx Moe Multimodal Qwen3 5 moe Qwen3 6 Region:us Ru Safetensors Sharded Tensorflow Tool-use Video Vision Zh

Model Card on HF 🤗: https://huggingface.co/mlx-community/Qwopus3.6-35B-A3B-Coder-bf16

Qwopus3.6 35B A3B Coder Bf16 Parameters and Internals

LLM Name	Qwopus3.6 35B A3B Coder Bf16
Repository 🤗	https://huggingface.co/mlx-community/Qwopus3.6-35B-A3B-Coder-bf16
Model Name	/root/.cache/kagglehub/models/jackjirong2/qwen3.6-35b-a3b/transformers/default/1
Base Model(s)	Jackrong/Qwopus3.6-35B-A3B-Coder Jackrong/Qwopus3.6-35B-A3B-Coder
Model Size	35b
Required VRAM	69.9 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5_moe
Model Files	5.3 GB: 1-of-14 5.0 GB: 2-of-14 5.0 GB: 3-of-14 5.0 GB: 4-of-14 5.1 GB: 5-of-14 5.0 GB: 6-of-14 5.0 GB: 7-of-14 5.0 GB: 8-of-14 5.1 GB: 9-of-14 5.0 GB: 10-of-14 5.0 GB: 11-of-14 5.0 GB: 12-of-14 5.1 GB: 13-of-14 4.3 GB: 14-of-14
Supported Languages	en zh es ru ja
Generates Code	Yes
Model Architecture	Qwen3_5MoeForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwopus3.6 35B A3B Coder Bf16 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 Qwopus3.6 35B A3B Coder Bf16

Best Alternatives	Context / RAM	Downloads	Likes
KAT Coder V2.5 Dev	0K / 69.7 GB	17885	537
KAT Coder V2.5 Dev VL OQ8e Mtp	0K / 38.4 GB	298	2
KAT Coder V2.5 Dev VL OQ4e Mtp	0K / 21.5 GB	149	1
KAT Coder V2.5 Dev VL OQ6e Mtp	0K / 30.2 GB	51	3
...der V2.5 Dev Vision OptiQ 4bit	0K / 22.9 GB	93	2
Qwopus3.6 35B A3B Coder 8bit	0K / 37.8 GB	740	4
Qwopus3.6 35B A3B Coder 4bit	0K / 20.5 GB	686	3
Qwopus3.6 35B A3B Coder 6bit	0K / 28.9 GB	256	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Qwopus3.6-35B-A3B-Coder-bf16.