What are the hardware requirements for Qwen 2.5 7B Deep Stock V4?

Qwen 2.5 7B Deep Stock V4 requires approximately 15.2 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 Qwen 2.5 7B Deep Stock V4 and how large is it?

Qwen 2.5 7B Deep Stock V4 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 Stock V4?

Qwen 2.5 7B Deep Stock V4 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 Stock V4 by bunnycore — VRAM 15.2GB, 32K context

Name: Qwen 2.5 7B Deep Stock V4
Author: bunnycore

Qwen 2.5 7B Deep Stock V4 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2403.19522 Base model:bunnycore/fuseqwqen... Base model:bunnycore/qwen-2.5-... Base model:bunnycore/qwen-2.5-... 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/Qwen-2.5-7B-Deep-Stock-v4

Qwen 2.5 7B Deep Stock V4 Parameters and Internals

LLM Name	Qwen 2.5 7B Deep Stock V4
Repository 🤗	https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Stock-v4
Base Model(s)	FuseQwQen 7B bunnycore/Qwen-2.5-7B-R1-Stock bunnycore/Qwen-2.5-7B-Deep-Stock-v1 Qwen/Qwen2.5-7B-Instruct bunnycore/FuseQwQen-7B bunnycore/Qwen-2.5-7B-R1-Stock bunnycore/Qwen-2.5-7B-Deep-Stock-v1 Qwen/Qwen2.5-7B-Instruct
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-24
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	32768
Model Max Length	32768
Transformers Version	4.48.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 7B Deep Stock V4 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 Stock V4

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Instruct 1M	986K / 15.4 GB	52534	373
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

Note: green Score (e.g. "73.2") means that the model is better than bunnycore/Qwen-2.5-7B-Deep-Stock-v4.