What are the hardware requirements for Qwen3.6 27B NVFP4?

Qwen3.6 27B NVFP4 requires approximately 26.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 27B NVFP4 and how large is it?

Qwen3.6 27B NVFP4 is developed by unsloth, 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 Qwen3.6 27B NVFP4?

Qwen3.6 27B NVFP4 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B NVFP4 by unsloth — VRAM 26.4GB

Name: Qwen3.6 27B NVFP4
Author: unsloth

Qwen3.6 27B NVFP4 is an open-source language model by unsloth. Features: 27b LLM, VRAM: 26.4GB, License: apache-2.0, LLM Explorer Score: 0.38.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-27b Compressed-tensors Conversational Deploy:azure Image-text-to-text Qwen3 5 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/unsloth/Qwen3.6-27B-NVFP4

Qwen3.6 27B NVFP4 Parameters and Internals

LLM Name	Qwen3.6 27B NVFP4
Repository 🤗	https://huggingface.co/unsloth/Qwen3.6-27B-NVFP4
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	26.4 GB
Updated	2026-07-10
Maintainer	unsloth
Model Type	qwen3_5
Model Files	26.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.5.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen3.6 27B NVFP4 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 Qwen3.6 27B NVFP4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
...e 4.6 Opus Reasoning Distilled	0K / 55.2 GB	63234	2928
Qwen3.5 27B	0K / 55.2 GB	8115	16
Fara1.5 27B	0K / 54.8 GB	3435	281
ThinkingCap Qwen3.6 27B NVFP4	0K / 19.8 GB	63184	13
Qwen3.6 27B Int4 AutoRound	0K / 18.4 GB	926139	132

Note: green Score (e.g. "73.2") means that the model is better than unsloth/Qwen3.6-27B-NVFP4.