What are the hardware requirements for Qwen3.6 27B FP8?

Qwen3.6 27B FP8 requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.6 27B FP8 and how large is it?

Qwen3.6 27B FP8 is developed by Qwen, 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 FP8?

Qwen3.6 27B FP8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.6 27B FP8 by Qwen — VRAM 0.4GB

Name: Qwen3.6 27B FP8
Author: Qwen

Qwen3.6 27B FP8 is an open-source language model by Qwen. Features: 27b LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.44.

Base model:quantized:qwen/qwen... Base model:qwen/qwen3.6-27b Conversational Deploy:azure Endpoints compatible Fp8 Image-text-to-text Qwen3 5 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen3.6-27B-FP8

Qwen3.6 27B FP8 Parameters and Internals

LLM Name	Qwen3.6 27B FP8
Repository 🤗	https://huggingface.co/Qwen/Qwen3.6-27B-FP8
Base Model(s)	Qwen/Qwen3.6-27B Qwen/Qwen3.6-27B
Model Size	27b
Required VRAM	0.4 GB
Updated	2026-08-09
Maintainer	Qwen
Model Type	qwen3_5
Model Files	0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB 0.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	4.57.1

Rank the Qwen3.6 27B FP8 capabilities

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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

Best Alternatives to Qwen3.6 27B FP8

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
Qwen3.5 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
Qwen3.6 27B NVFP4	0K / 26.4 GB	1279926	103

Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen3.6-27B-FP8.