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

Qwen3.8 27B Surgical Abliterated requires approximately 0.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Qwen3.8 27B Surgical Abliterated is developed by medismera, 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 Surgical Abliterated?

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

Qwen3.8 27B Surgical Abliterated by medismera — VRAM 0.4GB

Name: Qwen3.8 27B Surgical Abliterated
Author: medismera

Qwen3.8 27B Surgical Abliterated is an open-source language model by medismera. Features: 27b LLM, VRAM: 0.4GB, License: apache-2.0, LLM Explorer Score: 0.28.

Ar Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b-fp... Conversational Cybersecurity En Fp8 Qwen Qwen3 5 Refusal-ablation Region:us Representation-engineering Safetensors Surgical-projection Zh

Model Card on HF 🤗: https://huggingface.co/medismera/Qwen3.8-27B-Surgical-Abliterated

Qwen3.8 27B Surgical Abliterated Parameters and Internals

LLM Name	Qwen3.8 27B Surgical Abliterated
Repository 🤗	https://huggingface.co/medismera/Qwen3.8-27B-Surgical-Abliterated
Base Model(s)	Qwen/Qwen3.8-27B-FP8 Qwen/Qwen3.8-27B-FP8
Model Size	27b
Required VRAM	0.4 GB
Updated	2026-10-06
Maintainer	medismera
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
Supported Languages	en ar zh
Model Architecture	Qwen3_5ForConditionalGeneration
License	apache-2.0
Transformers Version	5.8.0.dev0

Rank the Qwen3.8 27B Surgical Abliterated 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 Surgical Abliterated

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
Qwen3.6 27B	0K / 55.4 GB	6728138	2197
Qwen3.8 27B NVFP4 DGX SPARK V2	0K / 19.8 GB	11317	113
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 medismera/Qwen3.8-27B-Surgical-Abliterated.