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

Qwen2.5 7B Instruct 1M requires approximately 15.4 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 Instruct 1M and how large is it?

Qwen2.5 7B Instruct 1M is developed by Qwen, 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 Instruct 1M?

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

Qwen2.5 7B Instruct 1M by Qwen — VRAM 15.4GB, 986K context

Name: Qwen2.5 7B Instruct 1M
Author: Qwen

Qwen2.5 7B Instruct 1M is an open-source language model by Qwen. Features: 7b LLM, VRAM: 15.4GB, Context: 986K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.34.

Arxiv:2501.15383 Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b Chat Conversational Deploy:azure En Endpoints compatible Instruct Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M

Qwen2.5 7B Instruct 1M Parameters and Internals

LLM Name	Qwen2.5 7B Instruct 1M
Repository 🤗	https://huggingface.co/Qwen/Qwen2.5-7B-Instruct-1M
Base Model(s)	Qwen/Qwen2.5-7B Qwen/Qwen2.5-7B
Model Size	7b
Required VRAM	15.4 GB
Updated	2026-07-26
Maintainer	Qwen
Model Type	qwen2
Instruction-Based	Yes
Model Files	4.0 GB: 1-of-4 3.9 GB: 2-of-4 3.9 GB: 3-of-4 3.6 GB: 4-of-4
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	1010000
Model Max Length	1010000
Transformers Version	4.47.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Instruct 1M capabilities

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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

Quantized Models of the Qwen2.5 7B Instruct 1M

Model	Likes	Downloads	VRAM
Qwen2.5 7B Instruct 1M 4bit	11	444	4 GB
...wen2.5 7B Instruct 1M Bnb 4bit	1	267	5 GB
Qwen2.5 7B Instruct 1M 8bit	4	63	8 GB
Qwen2.5 7B Instruct 1M 6bit	2	52	6 GB
...B Instruct 1M Unsloth Bnb 4bit	3	37	7 GB

Best Alternatives to Qwen2.5 7B Instruct 1M

Best Alternatives	Context / RAM	Downloads	Likes
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
Qwen2.5 7B Sky R1 Mini	986K / 15.2 GB	6	0