What are the hardware requirements for Qwen 2.5 7B Deep Stock V2?

Qwen 2.5 7B Deep Stock V2 requires approximately 15.2 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen 2.5 7B Deep Stock V2 and how large is it?

Qwen 2.5 7B Deep Stock V2 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 V2?

Qwen 2.5 7B Deep Stock V2 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 V2 by bunnycore — VRAM 15.2GB, 128K context

Name: Qwen 2.5 7B Deep Stock V2
Author: bunnycore

Qwen 2.5 7B Deep Stock V2 is an open-source language model by bunnycore. Features: 7b LLM, VRAM: 15.2GB, Context: 128K, Merged, LLM Explorer Score: 0.16.

Merged Model Arxiv:2403.19522 Base model:bunnycore/qwen-2.5-... Base model:claudioitaly/intell... Base model:fblgit/cybertron-v4... Base model:fuseai/fusechat-qwe... Base model:netcat420/deepseek-... Conversational Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Stock-v2

Qwen 2.5 7B Deep Stock V2 Parameters and Internals

LLM Name	Qwen 2.5 7B Deep Stock V2
Repository 🤗	https://huggingface.co/bunnycore/Qwen-2.5-7B-Deep-Stock-v2
Base Model(s)	Cybertron V4 Qw7B UNAMGS FuseAI/FuseChat-Qwen-2.5-7B-Instruct Intelligence R1 Distill 7B ...R1 Distill Qwen MFANN Slerp 7B bunnycore/Qwen-2.5-7B-Deep-Stock-v1 fblgit/cybertron-v4-qw7B-UNAMGS FuseAI/FuseChat-Qwen-2.5-7B-Instruct ClaudioItaly/Intelligence-R1-Distill-7B netcat420/DeepSeek-R1-Distill-Qwen-MFANN-Slerp-7b bunnycore/Qwen-2.5-7B-Deep-Stock-v1
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-08-05
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	131072
Model Max Length	131072
Transformers Version	4.46.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 7B Deep Stock V2 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 V2

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/Qwen-2.5-7B-Deep-Stock-v2.