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

Qwen3.8 27B Heretic requires approximately 45.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B Heretic is developed by Dingdust, 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 Qwen3.8 27B Heretic?

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

Qwen3.8 27B Heretic by Dingdust — VRAM 45.4GB

Name: Qwen3.8 27B Heretic
Author: Dingdust

Qwen3.8 27B Heretic is an open-source language model by Dingdust. Features: 27b LLM, VRAM: 45.4GB, License: apache-2.0, LLM Explorer Score: 0.3.

Abliterated Conversational Decensored Endpoints compatible Heretic Image-text-to-text Qwen3 5 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/Dingdust/Qwen3.8-27B-heretic

Qwen3.8 27B Heretic Parameters and Internals

LLM Name	Qwen3.8 27B Heretic
Repository 🤗	https://huggingface.co/Dingdust/Qwen3.8-27B-heretic
Model Size	27b
Required VRAM	45.4 GB
Updated	2026-08-17
Maintainer	Dingdust
Model Type	qwen3_5
Model Files	2.5 GB: 1-of-55 2.5 GB: 2-of-55 1.0 GB: 3-of-55 0.9 GB: 4-of-55 1.0 GB: 5-of-55 0.9 GB: 6-of-55 1.0 GB: 7-of-55 0.9 GB: 8-of-55 1.0 GB: 9-of-55 0.9 GB: 10-of-55 0.9 GB: 11-of-55 1.0 GB: 12-of-55 0.9 GB: 13-of-55 0.9 GB: 14-of-55 1.0 GB: 15-of-55 0.9 GB: 16-of-55 0.9 GB: 17-of-55 0.9 GB: 18-of-55 1.0 GB: 19-of-55 0.9 GB: 20-of-55 1.0 GB: 21-of-55 0.9 GB: 22-of-55 1.0 GB: 23-of-55 0.9 GB: 24-of-55 1.0 GB: 25-of-55 0.9 GB: 26-of-55 0.9 GB: 27-of-55 1.0 GB: 28-of-55 0.9 GB: 29-of-55 0.9 GB: 30-of-55 1.0 GB: 31-of-55 0.9 GB: 32-of-55 0.9 GB: 33-of-55 0.9 GB: 34-of-55 1.0 GB: 35-of-55 0.9 GB: 36-of-55 1.0 GB: 37-of-55 0.9 GB: 38-of-55 1.0 GB: 39-of-55 0.9 GB: 40-of-55 1.0 GB: 41-of-55 0.9 GB: 42-of-55 0.9 GB: 43-of-55 1.0 GB: 44-of-55 0.9 GB: 45-of-55
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.15.0

Rank the Qwen3.8 27B Heretic 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 Qwen3.8 27B Heretic

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

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