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

Vorarbeiter Qwen3.6 27B requires approximately 54.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Vorarbeiter Qwen3.6 27B is developed by nbeerbower, 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 Vorarbeiter Qwen3.6 27B?

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

Vorarbeiter Qwen3.6 27B by nbeerbower — VRAM 54.7GB

Name: Vorarbeiter Qwen3.6 27B
Author: nbeerbower

Vorarbeiter Qwen3.6 27B is an open-source language model by nbeerbower. Features: 27b LLM, VRAM: 54.7GB, License: apache-2.0, LLM Explorer Score: 0.25.

Agents Base model:merge:nbeerbower/bu... Base model:merge:nbeerbower/qw... Base model:merge:nbeerbower/qw... Base model:nbeerbower/bubba-qw... Base model:nbeerbower/qwen3.6-... Base model:nbeerbower/qwen3.6-... Conversational Dataset:nbeerbower/greatfirewa... Dataset:schneewolflabs/egirl-d... En Endpoints compatible Image-text-to-text Lora Merge Orpo Qwen3.6 Qwen3 5 Region:us Safetensors Sharded Tensorflow Tool-use Uncensored Zh

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

Vorarbeiter Qwen3.6 27B Parameters and Internals

LLM Name	Vorarbeiter Qwen3.6 27B
Repository 🤗	https://huggingface.co/nbeerbower/Vorarbeiter-Qwen3.6-27B
Base Model(s)	nbeerbower/Qwen3.6-27B-TIES nbeerbower/Bubba-Qwen3.6-27B-LoRA-3ep nbeerbower/Qwen3.6-27B-delegation-LoRA nbeerbower/Qwen3.6-27B-TIES nbeerbower/Bubba-Qwen3.6-27B-LoRA-3ep nbeerbower/Qwen3.6-27B-delegation-LoRA
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-08-09
Maintainer	nbeerbower
Model Type	qwen3_5
Model Files	49.8 GB: 1-of-2 4.9 GB: 2-of-2 0.8 GB
Supported Languages	en zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
LoRA Model	Yes
Errors	replace

Rank the Vorarbeiter Qwen3.6 27B 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 Vorarbeiter Qwen3.6 27B

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	87	3
Qwen3.8 27B NPU2	256K / GB	252	4
JEV 27B VL	0K / 55.6 GB	1525286	966
Clef	0K / 54.7 GB	9513	1835
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
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416

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