What are the hardware requirements for Rombo LLM V3.1 QWQ 32B Abliterated?

Rombo LLM V3.1 QWQ 32B Abliterated requires approximately 65.8 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Rombo LLM V3.1 QWQ 32B Abliterated and how large is it?

Rombo LLM V3.1 QWQ 32B Abliterated is developed by zetasepic, a model with 32b 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 Rombo LLM V3.1 QWQ 32B Abliterated?

Rombo LLM V3.1 QWQ 32B Abliterated is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Rombo LLM V3.1 QWQ 32B Abliterated by zetasepic — VRAM 65.8GB, 128K context

Name: Rombo LLM V3.1 QWQ 32B Abliterated
Author: zetasepic

Rombo LLM V3.1 QWQ 32B Abliterated is an open-source language model by zetasepic. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, License: apache-2.0, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-32b Chat Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated

Rombo LLM V3.1 QWQ 32B Abliterated Parameters and Internals

LLM Name	Rombo LLM V3.1 QWQ 32B Abliterated
Repository 🤗	https://huggingface.co/zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated
Base Model(s)	Qwen/Qwen2.5-32B Qwen/Qwen2.5-32B
Model Size	32b
Required VRAM	65.8 GB
Updated	2026-08-02
Maintainer	zetasepic
Model Type	qwen2
Model Files	4.9 GB: 1-of-14 4.9 GB: 2-of-14 4.9 GB: 3-of-14 4.9 GB: 4-of-14 4.9 GB: 5-of-14 4.9 GB: 6-of-14 4.9 GB: 7-of-14 4.9 GB: 8-of-14 4.9 GB: 9-of-14 4.9 GB: 10-of-14 4.9 GB: 11-of-14 4.9 GB: 12-of-14 4.9 GB: 13-of-14 2.1 GB: 14-of-14
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Rombo LLM V3.1 QWQ 32B Abliterated 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 Rombo LLM V3.1 QWQ 32B Abliterated

Best Alternatives	Context / RAM	Downloads	Likes
Openbuddy Qwq 32B V24.2 200K	195K / 65.8 GB	9	3
Openbuddy Qwq 32B V24.1 200K	195K / 65.8 GB	10	3
Openbuddy Qwq 32B V25.2q 200K	195K / 65.8 GB	1	4
...y Qwen2.5coder 32B V24.1q 200K	195K / 65.8 GB	9	2
DeepSeek R1 Distill Qwen 32B	128K / 65.7 GB	841633	1584
Qwen2.5 32B	128K / 65.5 GB	49206	180
RomboUltima 32B	128K / 20.7 GB	12	6
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	28	17
Ultiima 32B	128K / 65.8 GB	11	7
...wen2.5 32B Inst BaseMerge TIES	128K / 65.8 GB	22	4

Note: green Score (e.g. "73.2") means that the model is better than zetasepic/Rombo-LLM-V3.1-QWQ-32b-abliterated.