What are the hardware requirements for Qwen 2.5 Aether SlerpFusion 7B?

Qwen 2.5 Aether SlerpFusion 7B requires approximately 14.8 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 Qwen 2.5 Aether SlerpFusion 7B and how large is it?

Qwen 2.5 Aether SlerpFusion 7B is developed by ZeroXClem, a model with 7b 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 Qwen 2.5 Aether SlerpFusion 7B?

Qwen 2.5 Aether SlerpFusion 7B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 2.5 Aether SlerpFusion 7B by ZeroXClem — VRAM 14.8GB, 128K context

Name: Qwen 2.5 Aether SlerpFusion 7B
Author: ZeroXClem

Qwen 2.5 Aether SlerpFusion 7B is an open-source language model by ZeroXClem. Features: 7b LLM, VRAM: 14.8GB, Context: 128K, License: apache-2.0, Merged, LLM Explorer Score: 0.24.

Merged Model Allknowingroger/qwenslerp8-7b Base model:finetune:locutusque... Base model:locutusque/stockqwe... Conversational En Endpoints compatible Locutusque/stockqwen-2.5-7b Model-index Qwen2 Region:us Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B

Qwen 2.5 Aether SlerpFusion 7B Parameters and Internals

LLM Name	Qwen 2.5 Aether SlerpFusion 7B
Repository 🤗	https://huggingface.co/ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B
Base Model(s)	QwenSlerp8 7B Locutusque/StockQwen-2.5-7B allknowingroger/QwenSlerp8-7B Locutusque/StockQwen-2.5-7B
Merged Model	Yes
Model Size	7b
Required VRAM	14.8 GB
Updated	2026-08-08
Maintainer	ZeroXClem
Model Type	qwen2
Model Files	1.1 GB: 1-of-16 1.1 GB: 2-of-16 0.9 GB: 3-of-16 0.9 GB: 4-of-16 0.9 GB: 5-of-16 0.9 GB: 6-of-16 0.9 GB: 7-of-16 0.9 GB: 8-of-16 0.9 GB: 9-of-16 0.9 GB: 10-of-16 0.9 GB: 11-of-16 0.9 GB: 12-of-16 0.9 GB: 13-of-16 0.9 GB: 14-of-16 0.9 GB: 15-of-16 0.9 GB: 16-of-16
Supported Languages	en zh
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 Aether SlerpFusion 7B 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 Qwen 2.5 Aether SlerpFusion 7B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Preview	986K / 15.2 GB	10	0
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Hush Qwen2.5 7B V1.2	986K / 15.2 GB	4	1
Hush Qwen2.5 7B V1.1	986K / 15.2 GB	5	1
Hush Qwen2.5 7B V1.4	986K / 15.2 GB	8	1
Hush Qwen2.5 7B Preview	986K / 15.2 GB	5	0
Hush Qwen2.5 7B V1.3	986K / 15.2 GB	10	2
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen 2.5 7B Exp Sce	986K / 15.2 GB	10	2
Qwen2.5 7B MixStock V0.1	986K / 15.2 GB	6	3

Note: green Score (e.g. "73.2") means that the model is better than ZeroXClem/Qwen-2.5-Aether-SlerpFusion-7B.