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

ThinkingCap Qwen3.8 27B Abliterated requires approximately 54.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

ThinkingCap Qwen3.8 27B Abliterated is developed by IstroSec, 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 ThinkingCap Qwen3.8 27B Abliterated?

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

ThinkingCap Qwen3.8 27B Abliterated by IstroSec — VRAM 54.7GB

Name: ThinkingCap Qwen3.8 27B Abliterated
Author: IstroSec

ThinkingCap Qwen3.8 27B Abliterated is an open-source language model by IstroSec. Features: 27b LLM, VRAM: 54.7GB, License: other, LLM Explorer Score: 0.28.

Abliterated Base model:bottlecapai/thinkin... Base model:merge:bottlecapai/t... Base model:merge:muxodious/qwe... Base model:muxodious/qwen3.8-2... Bf16 Conversational En Endpoints compatible Heretic Image-text-to-text Lora Mtp Multilingual Qwen3 5 Qwen3 8 Region:us Safetensors Sharded Tensorflow Thinkingcap Uncensored Vision

Model Card on HF 🤗: https://huggingface.co/IstroSec/ThinkingCap-Qwen3.8-27B-abliterated

ThinkingCap Qwen3.8 27B Abliterated Parameters and Internals

LLM Name	ThinkingCap Qwen3.8 27B Abliterated
Repository 🤗	https://huggingface.co/IstroSec/ThinkingCap-Qwen3.8-27B-abliterated
Base Model(s)	bottlecapai/ThinkingCap-Qwen3.8-27B MuXodious/Qwen3.8-27B-absolute-heresy-LoRA bottlecapai/ThinkingCap-Qwen3.8-27B MuXodious/Qwen3.8-27B-absolute-heresy-LoRA
Model Size	27b
Required VRAM	54.7 GB
Updated	2026-09-28
Maintainer	IstroSec
Model Type	qwen3_5
Model Files	49.8 GB: 1-of-2 4.9 GB: 2-of-2 0.8 GB
Supported Languages	en
Model Architecture	Qwen3_5ForConditionalGeneration
License	other
Model Max Length	262144
Transformers Version	5.17.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
LoRA Model	Yes
Errors	replace

Rank the ThinkingCap Qwen3.8 27B 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 ThinkingCap Qwen3.8 27B 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	174	2
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 FP8	0K / 0.4 GB	123157	416
Qwen3.8 27B MLX	0K / 16 GB	1411	18
Qwen3.6 27B NVFP4	0K / 22 GB	1887525	419
Qwen3.5 27B	0K / 55.2 GB	2536294	1028
Qwen3.6 27B FP8	0K / 0.4 GB	7740472	342

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