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

Qwen2.5 7B Instruct Caaret requires approximately 8.7 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 7B Instruct Caaret and how large is it?

Qwen2.5 7B Instruct Caaret is developed by CaaretAI, 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 Caaret?

Qwen2.5 7B Instruct Caaret 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 Caaret by CaaretAI — VRAM 8.7GB, 32K context

Name: Qwen2.5 7B Instruct Caaret
Author: CaaretAI

Qwen2.5 7B Instruct Caaret is an open-source language model by CaaretAI. Features: 7b LLM, VRAM: 8.7GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

8-bit Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-7b-ins... Caaret Conversational En Endpoints compatible Instruct Mining Qwen2 Qwen2.5 Region:us Safetensors Sharded Tensorflow Vllm

Model Card on HF 🤗: https://huggingface.co/CaaretAI/Qwen2.5-7B-Instruct-caaret

Qwen2.5 7B Instruct Caaret Parameters and Internals

LLM Name	Qwen2.5 7B Instruct Caaret
Repository 🤗	https://huggingface.co/CaaretAI/Qwen2.5-7B-Instruct-caaret
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Qwen/Qwen2.5-7B-Instruct
Model Size	7b
Required VRAM	8.7 GB
Updated	2026-10-25
Maintainer	CaaretAI
Model Type	qwen2
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 3.7 GB: 2-of-2 0.0 GB
Supported Languages	en
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.55.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B Instruct Caaret 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

Best Alternatives to Qwen2.5 7B Instruct Caaret

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 CaaretAI/Qwen2.5-7B-Instruct-caaret.