What are the hardware requirements for Qwen 3.6 27B SwiftHeron?

Qwen 3.6 27B SwiftHeron requires approximately 0.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 3.6 27B SwiftHeron and how large is it?

Qwen 3.6 27B SwiftHeron is developed by computer-vision-ai-lab, 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 Qwen 3.6 27B SwiftHeron?

Qwen 3.6 27B SwiftHeron is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 3.6 27B SwiftHeron by computer-vision-ai-lab — VRAM 0.8GB

Name: Qwen 3.6 27B SwiftHeron
Author: computer-vision-ai-lab

Qwen 3.6 27B SwiftHeron is an open-source language model by computer-vision-ai-lab. Features: 27b LLM, VRAM: 0.8GB, License: apache-2.0, LLM Explorer Score: 0.26.

Base model:quantized:tooony133... Base model:tooony133/qwen-3.6-... Compressed-tensors Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Vision

Model Card on HF 🤗: https://huggingface.co/computer-vision-ai-lab/Qwen-3.6-27B-SwiftHeron

Qwen 3.6 27B SwiftHeron Parameters and Internals

LLM Name	Qwen 3.6 27B SwiftHeron
Repository 🤗	https://huggingface.co/computer-vision-ai-lab/Qwen-3.6-27B-SwiftHeron
Base Model(s)	Tooony133/Qwen-3.6-27B-SkinnyPete Tooony133/Qwen-3.6-27B-SkinnyPete
Model Size	27b
Required VRAM	0.8 GB
Updated	2026-09-11
Maintainer	computer-vision-ai-lab
Model Type	qwen3_5
Model Files	0.8 GB 30.4 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.14.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Qwen 3.6 27B SwiftHeron 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 Qwen 3.6 27B SwiftHeron

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	86	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	22043	2237
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.8 27B	0K / 55.6 GB	2727	21
Qwen3.8 27B MLX	0K / 16 GB	1411	18

Note: green Score (e.g. "73.2") means that the model is better than computer-vision-ai-lab/Qwen-3.6-27B-SwiftHeron.