What are the hardware requirements for WichtelHui Qwen3.8 27B SLERP?

WichtelHui Qwen3.8 27B SLERP requires approximately 53.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed WichtelHui Qwen3.8 27B SLERP and how large is it?

WichtelHui Qwen3.8 27B SLERP is developed by DragonBophades, 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 WichtelHui Qwen3.8 27B SLERP?

WichtelHui Qwen3.8 27B SLERP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

WichtelHui Qwen3.8 27B SLERP by DragonBophades — VRAM 53.8GB

Name: WichtelHui Qwen3.8 27B SLERP
Author: DragonBophades

WichtelHui Qwen3.8 27B SLERP is an open-source language model by DragonBophades. Features: 27b LLM, VRAM: 53.8GB, License: apache-2.0, Merged, LLM Explorer Score: 0.3.

Merged Model Agents Base model:huihui-ai/huihui-qw... Base model:nbeerbower/wichtel-... Conversational Endpoints compatible Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Slerp Tensorflow Tool-use Vision

Model Card on HF 🤗: https://huggingface.co/DragonBophades/WichtelHui-Qwen3.8-27B-SLERP

WichtelHui Qwen3.8 27B SLERP Parameters and Internals

LLM Name	WichtelHui Qwen3.8 27B SLERP
Repository 🤗	https://huggingface.co/DragonBophades/WichtelHui-Qwen3.8-27B-SLERP
Base Model(s)	nbeerbower/Wichtel-Qwen3.6-27B huihui-ai/Huihui-Qwen3.8-27B-abliterated nbeerbower/Wichtel-Qwen3.6-27B huihui-ai/Huihui-Qwen3.8-27B-abliterated
Merged Model	Yes
Model Size	27b
Required VRAM	53.8 GB
Updated	2026-08-19
Maintainer	DragonBophades
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-12 4.8 GB: 2-of-12 5.0 GB: 3-of-12 4.9 GB: 4-of-12 5.0 GB: 5-of-12 4.9 GB: 6-of-12 5.0 GB: 7-of-12 4.9 GB: 8-of-12 5.0 GB: 9-of-12 4.9 GB: 10-of-12 4.9 GB: 11-of-12 2.0 GB: 12-of-12 1.8 GB
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Model Max Length	262144
Transformers Version	5.3.0
Tokenizer Class	TokenizersBackend
Padding Token	<\|endoftext\|>
Errors	replace

Rank the WichtelHui Qwen3.8 27B SLERP 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 WichtelHui Qwen3.8 27B SLERP

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 27B FP8	0K / 0.4 GB	123157	416
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B	0K / 55.6 GB	2	8753
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
ThinkingCap Qwen3.6 27B	0K / 54.7 GB	35947	614
Huihui Qwen3.8 27B Abliterated	0K / 55.6 GB	1485	76
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
...n3.8 27B MTPLX Optimized Speed	0K / 19.6 GB	6989	50
Qwen3.5 27B	0K / 55.2 GB	8115	16

Note: green Score (e.g. "73.2") means that the model is better than DragonBophades/WichtelHui-Qwen3.8-27B-SLERP.