What are the hardware requirements for Qwopus3.6 27B Coder NVFP4?

Qwopus3.6 27B Coder NVFP4 requires approximately 1.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwopus3.6 27B Coder NVFP4 and how large is it?

Qwopus3.6 27B Coder NVFP4 is developed by maci0, 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 NVFP4?

Qwopus3.6 27B Coder NVFP4 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 NVFP4 by maci0 — VRAM 1.8GB

Name: Qwopus3.6 27B Coder NVFP4
Author: maci0

Qwopus3.6 27B Coder NVFP4 is an open-source language model by maci0. Features: 27b LLM, VRAM: 1.8GB, License: apache-2.0, Code Generating, LLM Explorer Score: 0.37.

8-bit Base model:jackrong/qwopus3.6-... Base model:quantized:jackrong/... Code Codegen Coder Compressed-tensors Conversational En Endpoints compatible Fp4 Gptq Image-text-to-text Llm-compressor Nvfp4 Quantized Qwen3 5 Region:us Safetensors Thinking Vision Vision-language Vllm W4a4 Zh

Model Card on HF 🤗: https://huggingface.co/maci0/Qwopus3.6-27B-Coder-NVFP4

Qwopus3.6 27B Coder NVFP4 Parameters and Internals

LLM Name	Qwopus3.6 27B Coder NVFP4
Repository 🤗	https://huggingface.co/maci0/Qwopus3.6-27B-Coder-NVFP4
Model Name	Unsloth/qwen3.6-27B
Base Model(s)	Jackrong/Qwopus3.6-27B-Coder Jackrong/Qwopus3.6-27B-Coder
Model Size	27b
Required VRAM	1.8 GB
Updated	2026-08-09
Maintainer	maci0
Model Type	qwen3_5
Model Files	1.8 GB 18.8 GB
Supported Languages	en zh
Generates Code	Yes
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

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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

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