What are the hardware requirements for Qwopus3.6 27B Coder?

Qwopus3.6 27B Coder requires approximately 55.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.6 27B Coder and how large is it?

Qwopus3.6 27B Coder is developed by Jackrong, a model with 27b 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 27B Coder?

Qwopus3.6 27B Coder is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwopus3.6 27B Coder by Jackrong — VRAM 55.4GB

Name: Qwopus3.6 27B Coder
Author: Jackrong

Qwopus3.6 27B Coder is an open-source language model by Jackrong. Features: 27b LLM, VRAM: 55.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Agent Base model:adapter:jackrong/qw... Base model:jackrong/qwopus3.6-... Chain-of-thought Coder Conversational Dataset:jackrong/claude-opus-4... Dataset:jackrong/claude-opus-4... Dataset:lambda/hermes-agent-re... En Endpoints compatible Es Function-calling Image-text-to-text Ja Lora Qwen3 5 Qwen3 6 Reasoning Region:us Ru Safetensors Sft Sharded Tensorflow Tool-use Unsloth Zh

Model Card on HF 🤗: https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder

Qwopus3.6 27B Coder Parameters and Internals

LLM Name	Qwopus3.6 27B Coder
Repository 🤗	https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder
Model Name	Unsloth/qwen3.6-27B
Base Model(s)	Jackrong/Qwopus3.6-27B-v2 Jackrong/Qwopus3.6-27B-v2
Model Size	27b
Required VRAM	55.4 GB
Updated	2026-08-09
Maintainer	Jackrong
Model Type	qwen3_5
Model Files	4.0 GB: 1-of-15 3.9 GB: 2-of-15 3.9 GB: 3-of-15 3.9 GB: 4-of-15 3.9 GB: 5-of-15 3.9 GB: 6-of-15 4.0 GB: 7-of-15 3.9 GB: 8-of-15 3.9 GB: 9-of-15 3.9 GB: 10-of-15 3.9 GB: 11-of-15 3.9 GB: 12-of-15 4.0 GB: 13-of-15 3.9 GB: 14-of-15 0.5 GB: 15-of-15
Supported Languages	en zh es ru ja
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Tokenizer Class	TokenizersBackend
Padding Token	<\|vision_pad\|>
Torch Data Type	bfloat16
Errors	replace

Rank the Qwopus3.6 27B 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 27B Coder

Model	Likes	Downloads	VRAM
Qwopus3.6 27B Coder 4bit	1	312	16 GB
Qwopus3.6 27B Coder 6bit	1	101	22 GB

Best Alternatives to Qwopus3.6 27B Coder

Best Alternatives	Context / RAM	Downloads	Likes
...wopus3.8 27B Flash Mlx OQ4e 1M	1024K / 16.9 GB	211	1
Agens Pilot	1024K / 54.7 GB	158	1
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342

Note: green Score (e.g. "73.2") means that the model is better than Jackrong/Qwopus3.6-27B-Coder.