What are the hardware requirements for Qwen3.8 27B Obliterated E03?

Qwen3.8 27B Obliterated E03 requires approximately 53.6 GB of VRAM and supports a context window of 256K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen3.8 27B Obliterated E03 and how large is it?

Qwen3.8 27B Obliterated E03 is developed by manitcor, 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 Obliterated E03?

Qwen3.8 27B Obliterated E03 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen3.8 27B Obliterated E03 by manitcor — VRAM 53.6GB, 256K context

Name: Qwen3.8 27B Obliterated E03
Author: manitcor

Qwen3.8 27B Obliterated E03 is an open-source language model by manitcor. Features: 27b LLM, VRAM: 53.6GB, Context: 256K, License: apache-2.0, LLM Explorer Score: 0.33.

Abliteration Base model:finetune:qwen/qwen3... Base model:qwen/qwen3.8-27b Bfloat16 Conversational En Endpoints compatible Mechanistic-interpretability Qwen Qwen3.8 Qwen3 5 text Refusal-research Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/manitcor/Qwen3.8-27B-Obliterated-E03

Qwen3.8 27B Obliterated E03 Parameters and Internals

LLM Name	Qwen3.8 27B Obliterated E03
Repository 🤗	https://huggingface.co/manitcor/Qwen3.8-27B-Obliterated-E03
Base Model(s)	Qwen/Qwen3.8-27B Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	53.6 GB
Updated	2026-08-31
Maintainer	manitcor
Model Type	qwen3_5_text
Model Files	2.5 GB: 1-of-28 1.9 GB: 2-of-28 1.9 GB: 3-of-28 1.9 GB: 4-of-28 1.9 GB: 5-of-28 1.9 GB: 6-of-28 1.9 GB: 7-of-28 1.9 GB: 8-of-28 1.9 GB: 9-of-28 1.9 GB: 10-of-28 1.9 GB: 11-of-28 1.9 GB: 12-of-28 1.9 GB: 13-of-28 1.9 GB: 14-of-28 1.9 GB: 15-of-28 1.9 GB: 16-of-28 1.9 GB: 17-of-28 1.9 GB: 18-of-28 1.9 GB: 19-of-28 1.9 GB: 20-of-28 1.9 GB: 21-of-28 1.9 GB: 22-of-28 1.9 GB: 23-of-28 1.9 GB: 24-of-28 1.9 GB: 25-of-28 1.9 GB: 26-of-28 2.5 GB: 27-of-28 1.1 GB: 28-of-28
Supported Languages	en
Model Architecture	Qwen3_5ForCausalLM
License	apache-2.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.8.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen3.8 27B Obliterated E03 capabilities

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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 Obliterated E03

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Barcenas Qwen3.8 27B Fable	256K / 54.1 GB	799	4
...n3.8 27B PrismaScout AQUA 20GB	256K / 20.2 GB	266	3
...maAQUA Gridbook 13GB 5080 Vllm	256K / 13 GB	593	4
...wen3.8 P44w75 16.8B Unrepaired	256K / 2.4 GB	929	1
Qwen3.8 27B Abliteratex	256K / 53.9 GB	321	6
Focus Red	256K / 53.8 GB	416	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	5919	14
Qwen3.6 27B Esper4	256K / 55.6 GB	292	19

Note: green Score (e.g. "73.2") means that the model is better than manitcor/Qwen3.8-27B-Obliterated-E03.