What are the hardware requirements for Qwen 2.5 7B Deep Sky T1?

Qwen 2.5 7B Deep Sky T1 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 Qwen 2.5 7B Deep Sky T1 and how large is it?

Qwen 2.5 7B Deep Sky T1 is developed by bunnycore, 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 7B Deep Sky T1?

Qwen 2.5 7B Deep Sky T1 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen 2.5 7B Deep Sky T1 by bunnycore — VRAM 15.2GB, 986K context

Name: Qwen 2.5 7B Deep Sky T1
Author: bunnycore

Qwen 2.5 7B Deep Sky T1 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.21.

Merged Model Arxiv:2306.01708 Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen2.5-7... Base model:novasky-ai/sky-t1-m... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Sky-T1

Qwen 2.5 7B Deep Sky T1 Parameters and Internals

LLM Name	Qwen 2.5 7B Deep Sky T1
Repository 🤗	https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Sky-T1
Base Model(s)	bunnycore/Qwen-2.5-7B-Deep-Stock-v5 Sky T1 Mini bunnycore/Qwen2.5-7B-RRP-1M bunnycore/Qwen-2.5-7B-Deep-Stock-v5 NovaSky-AI/Sky-T1-mini bunnycore/Qwen2.5-7B-RRP-1M
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-01
Maintainer	bunnycore
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	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	float16
Errors	replace

Rank the Qwen 2.5 7B Deep Sky T1 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 7B Deep Sky T1

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 bunnycore/Qwen-2.5-7B-Deep-Sky-T1.