What are the hardware requirements for Qwen2.5 7B Sky R1 Mini?

Qwen2.5 7B Sky R1 Mini 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 Qwen2.5 7B Sky R1 Mini and how large is it?

Qwen2.5 7B Sky R1 Mini 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 Qwen2.5 7B Sky R1 Mini?

Qwen2.5 7B Sky R1 Mini is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B Sky R1 Mini by bunnycore — VRAM 15.2GB, 986K context

Name: Qwen2.5 7B Sky R1 Mini
Author: bunnycore

Qwen2.5 7B Sky R1 Mini is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Instruction-Based, Merged, LLM Explorer Score: 0.18.

Merged Model Arxiv:2408.07990 Base model:deepseek-ai/deepsee... Base model:novasky-ai/sky-t1-m... Base model:open-r1/openr1-qwen... Base model:open-thoughts/opent... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Instruct Model-index Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-Sky-R1-Mini

Qwen2.5 7B Sky R1 Mini Parameters and Internals

LLM Name	Qwen2.5 7B Sky R1 Mini
Repository 🤗	https://huggingface.co/bunnycore/Qwen2.5-7B-Sky-R1-Mini
Base Model(s)	OpenThinker 7B DeepSeek R1 Distill Qwen 7B Qwen/Qwen2.5-7B-Instruct-1M Sky T1 Mini OpenR1 Qwen 7B open-thoughts/OpenThinker-7B deepseek-ai/DeepSeek-R1-Distill-Qwen-7B Qwen/Qwen2.5-7B-Instruct-1M NovaSky-AI/Sky-T1-mini open-r1/OpenR1-Qwen-7B
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-21
Maintainer	bunnycore
Model Type	qwen2
Instruction-Based	Yes
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	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Sky R1 Mini 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 Qwen2.5 7B Sky R1 Mini

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
Rewnozom	986K / 30.5 GB	742	1
Hush Qwen2.5 7B RP V1.4 1M	986K / 15.2 GB	10	2
Qwen2.5 7B RRP 1M	986K / 15.2 GB	5	6
Qwen2.5 7B CelestialHarmony 1M	986K / 14.8 GB	8	7
Q2.5 Instruct 1M Harmony	986K / 15.2 GB	4	2
Impish QWEN 7B 1M	986K / 15.2 GB	4	6
COCO 7B Instruct 1M	986K / 15.2 GB	9	4
Apollo 7B	986K / 15.2 GB	8	0
Graph R1 7B	986K / 15.3 GB	7	3

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen2.5-7B-Sky-R1-Mini.