What are the hardware requirements for QwQ 56B Ghost?

QwQ 56B Ghost requires approximately 112.9 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed QwQ 56B Ghost and how large is it?

QwQ 56B Ghost is developed by JackCloudman, 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 QwQ 56B Ghost?

QwQ 56B Ghost is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

QwQ 56B Ghost by JackCloudman — VRAM 112.9GB, 32K context

Name: QwQ 56B Ghost
Author: JackCloudman

QwQ 56B Ghost is an open-source language model by JackCloudman. Features: 32b LLM, VRAM: 112.9GB, Context: 32K, License: apache-2.0, Merged, LLM Explorer Score: 0.16.

Merged Model Abliterated Autotrain compatible Base model:finetune:jackcloudm... Base model:jackcloudman/qwq-32... Chat Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow Uncensored

Model Card on HF 🤗: https://huggingface.co/JackCloudman/QwQ-56B-Ghost

QwQ 56B Ghost Parameters and Internals

LLM Name	QwQ 56B Ghost
Repository 🤗	https://huggingface.co/JackCloudman/QwQ-56B-Ghost
Base Model(s)	QwQ 32B Preview Jackterated JackCloudman/QwQ-32B-Preview-jackterated
Merged Model	Yes
Model Size	32b
Required VRAM	112.9 GB
Updated	2025-07-28
Maintainer	JackCloudman
Model Type	qwen2
Model Files	5.0 GB: 1-of-23 4.9 GB: 2-of-23 5.0 GB: 3-of-23 4.8 GB: 4-of-23 5.0 GB: 5-of-23 4.9 GB: 6-of-23 4.8 GB: 7-of-23 5.0 GB: 8-of-23 4.8 GB: 9-of-23 4.9 GB: 10-of-23 5.0 GB: 11-of-23 4.8 GB: 12-of-23 5.0 GB: 13-of-23 4.9 GB: 14-of-23 4.8 GB: 15-of-23 5.0 GB: 16-of-23 4.8 GB: 17-of-23 4.9 GB: 18-of-23 5.0 GB: 19-of-23 4.8 GB: 20-of-23 5.0 GB: 21-of-23 4.9 GB: 22-of-23 4.9 GB: 23-of-23
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	float16
Errors	replace

Rank the QwQ 56B Ghost 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 QwQ 56B Ghost

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 JackCloudman/QwQ-56B-Ghost.