What are the hardware requirements for Qwen2.5 7B RRP 1M Thinker?

Qwen2.5 7B RRP 1M Thinker 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 RRP 1M Thinker and how large is it?

Qwen2.5 7B RRP 1M Thinker 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 RRP 1M Thinker?

Qwen2.5 7B RRP 1M Thinker is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 7B RRP 1M Thinker by bunnycore — VRAM 15.2GB, 986K context

Name: Qwen2.5 7B RRP 1M Thinker
Author: bunnycore

Qwen2.5 7B RRP 1M Thinker is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 986K, Merged, LLM Explorer Score: 0.2.

Merged Model Arxiv:2408.07990 Base model:bunnycore/qandoraex... Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen2.5-7... Base model:bunnycore/qwen2.5-7... Base model:open-r1/openr1-qwen... Base model:open-thoughts/opent... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M-Thinker

Qwen2.5 7B RRP 1M Thinker Parameters and Internals

LLM Name	Qwen2.5 7B RRP 1M Thinker
Repository 🤗	https://huggingface.co/bunnycore/Qwen2.5-7B-RRP-1M-Thinker
Base Model(s)	OpenR1 Qwen 7B bunnycore/Qwen2.5-7B-RRP-1M bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3 bunnycore/Qwen-2.5-7B-Deep-Stock-v4 QandoraExp 7B OpenThinker 7B open-r1/OpenR1-Qwen-7B bunnycore/Qwen2.5-7B-RRP-1M bunnycore/Qwen2.5-7B-MixStock-Sce-V0.3 bunnycore/Qwen-2.5-7B-Deep-Stock-v4 bunnycore/QandoraExp-7B open-thoughts/OpenThinker-7B
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-06
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	bfloat16
Errors	replace

Rank the Qwen2.5 7B RRP 1M Thinker 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 RRP 1M Thinker

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/Qwen2.5-7B-RRP-1M-Thinker.