What are the hardware requirements for Yell Qwen2.5 7B Preview?

Yell Qwen2.5 7B Preview requires approximately 15.2 GB of VRAM and supports a context window of 986K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Yell Qwen2.5 7B Preview and how large is it?

Yell Qwen2.5 7B Preview is developed by marcuscedricridia, 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 Yell Qwen2.5 7B Preview?

Yell Qwen2.5 7B Preview is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Yell Qwen2.5 7B Preview by marcuscedricridia — VRAM 15.2GB, 986K context

Name: Yell Qwen2.5 7B Preview
Author: marcuscedricridia

Yell Qwen2.5 7B Preview is an open-source language model by marcuscedricridia. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.24.

Merged Model Arxiv:2403.19522 Base model:marcuscedricridia/y... Base model:marcuscedricridia/y... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/marcuscedricridia/Yell-Qwen2.5-7B-Preview

Yell Qwen2.5 7B Preview Parameters and Internals

LLM Name	Yell Qwen2.5 7B Preview
Repository 🤗	https://huggingface.co/marcuscedricridia/Yell-Qwen2.5-7B-Preview
Base Model(s)	marcuscedricridia/Yell-Qwen2.5-7B-1M-della4 marcuscedricridia/Yell-Qwen2.5-7B-1M-della3 marcuscedricridia/Yell-Qwen2.5-7B-1M-della2 marcuscedricridia/Yell-Qwen2.5-7B-Stock marcuscedricridia/Yell-Qwen2.5-7B-1M-della1 marcuscedricridia/Yell-Qwen2.5-7B-1M-della4 marcuscedricridia/Yell-Qwen2.5-7B-1M-della3 marcuscedricridia/Yell-Qwen2.5-7B-1M-della2 marcuscedricridia/Yell-Qwen2.5-7B-Stock marcuscedricridia/Yell-Qwen2.5-7B-1M-della1
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-29
Maintainer	marcuscedricridia
Model Type	qwen2
Model Files	5.0 GB: 1-of-4 4.9 GB: 2-of-4 5.0 GB: 3-of-4 0.3 GB: 4-of-4
Model Architecture	Qwen2ForCausalLM
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.49.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Yell Qwen2.5 7B Preview 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 Yell Qwen2.5 7B Preview

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
Rewnozom	986K / 30.5 GB	742	1
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

Note: green Score (e.g. "73.2") means that the model is better than marcuscedricridia/Yell-Qwen2.5-7B-Preview.