What are the hardware requirements for Qwen3.8 27B Obliterated E03 Bnb 4bit?

Qwen3.8 27B Obliterated E03 Bnb 4bit requires approximately 17.7 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 Bnb 4bit and how large is it?

Qwen3.8 27B Obliterated E03 Bnb 4bit 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 Bnb 4bit?

Qwen3.8 27B Obliterated E03 Bnb 4bit 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 Bnb 4bit by manitcor — VRAM 17.7GB, 256K context

Name: Qwen3.8 27B Obliterated E03 Bnb 4bit
Author: manitcor

Qwen3.8 27B Obliterated E03 Bnb 4bit is an open-source language model by manitcor. Features: 27b LLM, VRAM: 17.7GB, Context: 256K, License: apache-2.0, Quantized, LLM Explorer Score: 0.3.

4-bit 4bit Abliteration Base model:quantized:qwen/qwen... Base model:qwen/qwen3.8-27b Bitsandbytes Conversational En Endpoints compatible Mechanistic-interpretability Nf4 Quantized 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-bnb-4bit

Qwen3.8 27B Obliterated E03 Bnb 4bit Parameters and Internals

LLM Name	Qwen3.8 27B Obliterated E03 Bnb 4bit
Repository 🤗	https://huggingface.co/manitcor/Qwen3.8-27B-Obliterated-E03-bnb-4bit
Base Model(s)	manitcor/Qwen3.8-27B-Obliterated-E03 Qwen/Qwen3.8-27B manitcor/Qwen3.8-27B-Obliterated-E03 Qwen/Qwen3.8-27B
Model Size	27b
Required VRAM	17.7 GB
Updated	2026-09-01
Maintainer	manitcor
Model Type	qwen3_5_text
Model Files	2.5 GB: 1-of-9 2.5 GB: 2-of-9 2.0 GB: 3-of-9 2.0 GB: 4-of-9 2.0 GB: 5-of-9 2.0 GB: 6-of-9 2.0 GB: 7-of-9 2.0 GB: 8-of-9 0.7 GB: 9-of-9
Supported Languages	en
Quantization Type	4bit
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 Bnb 4bit 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 Bnb 4bit

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...en3.6 27B OBLITERATED MLX 4bit	256K / 15.1 GB	646	3
Qwen3.6 27B Bnb 4bit	256K / 17.7 GB	1194	0
Qwen3.8 27B OBLITERATED	256K / 83.2 GB	164950	516
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
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Qwen3.8 27B Obliterated E03	256K / 53.6 GB	708	1
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Qwen3.8 27B OBLITERATEDpintus	256K / 83.2 GB	981	1
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...n3.8 27B PrismaScout AQUA 20GB	256K / 20.2 GB	266	3

Note: green Score (e.g. "73.2") means that the model is better than manitcor/Qwen3.8-27B-Obliterated-E03-bnb-4bit.