What are the hardware requirements for Qwen27B Agent R2 Abliterated Preview?

Qwen27B Agent R2 Abliterated Preview requires approximately 54.6 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 Qwen27B Agent R2 Abliterated Preview and how large is it?

Qwen27B Agent R2 Abliterated Preview is developed by hotdogs, 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 Qwen27B Agent R2 Abliterated Preview?

Qwen27B Agent R2 Abliterated Preview is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen27B Agent R2 Abliterated Preview by hotdogs — VRAM 54.6GB, 256K context

Name: Qwen27B Agent R2 Abliterated Preview
Author: hotdogs

Qwen27B Agent R2 Abliterated Preview is an open-source language model by hotdogs. Features: 27b LLM, VRAM: 54.6GB, Context: 256K, License: agpl-3.0, LLM Explorer Score: 0.27.

Abliterated Agent Base model:hotdogs/qwen27b-abl... Base model:quantized:hotdogs/q... Conversational Dataset:11-47/claude opus 4.8 ... Dataset:hotdogs/uka-fable-reas... Dataset:nousresearch/hermes-fu... En Endpoints compatible Fable Function-calling Gguf Mtp Multi-token-prediction Preview Qwen Qwen3 5 text Reasoning Region:us Safetensors Sharded Speculative-decoding Tensorflow Th Thai Tool-call Tool-use Uncensored

Model Card on HF 🤗: https://huggingface.co/hotdogs/qwen27B-Agent-R2-abliterated-preview

Qwen27B Agent R2 Abliterated Preview Parameters and Internals

LLM Name	Qwen27B Agent R2 Abliterated Preview
Repository 🤗	https://huggingface.co/hotdogs/qwen27B-Agent-R2-abliterated-preview
Base Model(s)	hotdogs/qwen27b-abliterated-Fable-MTP huihui-ai/Huihui-Qwen3.6-27B-abliterated hotdogs/qwen27b-abliterated-Fable-MTP huihui-ai/Huihui-Qwen3.6-27B-abliterated
Model Size	27b
Required VRAM	54.6 GB
Updated	2026-09-21
Maintainer	hotdogs
Model Type	qwen3_5_text
Model Files	49.8 GB: 1-of-2 4.8 GB: 2-of-2
Supported Languages	en th
Model Architecture	Qwen3_5ForCausalLM
License	agpl-3.0
Context Length	262144
Model Max Length	262144
Transformers Version	5.12.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	248320
Errors	replace

Rank the Qwen27B Agent R2 Abliterated Preview 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 Qwen27B Agent R2 Abliterated Preview

Best Alternatives	Context / RAM	Downloads	Likes
Hemmingway 1	256K / 53.8 GB	11933	868
JEV 27B	256K / 53.9 GB	178643	79
OrcaSAQ 2 27B	256K / 12.3 GB	1330	169
Qwen3.6 27B OBLITERATED	256K / 53.6 GB	15137	184
Darwin 27B RSI	256K / 53.8 GB	459	14
Mnma Qwen3.8 27b Nvfp4	256K / 18.8 GB	527	11
Qwen3.8 27B Abliterated	256K / 53.6 GB	65	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	6727	14
Qwen3.8 27B Obliterated E03	256K / 53.6 GB	708	1
...2 Abliterated OptiQ 3.7bpw Mlx	256K / 13.4 GB	5919	14

Note: green Score (e.g. "73.2") means that the model is better than hotdogs/qwen27B-Agent-R2-abliterated-preview.