What are the hardware requirements for Qwen2.5 7B MS Destroyer?

Qwen2.5 7B MS Destroyer 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 Qwen2.5 7B MS Destroyer and how large is it?

Qwen2.5 7B MS Destroyer is developed by Xiaojian9992024, 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 MS Destroyer?

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

Qwen2.5 7B MS Destroyer by Xiaojian9992024 — VRAM 15.2GB, 32K context

Name: Qwen2.5 7B MS Destroyer
Author: Xiaojian9992024

Qwen2.5 7B MS Destroyer is an open-source language model by Xiaojian9992024. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, Instruction-Based, Code Generating, Merged, LLM Explorer Score: 0.27.

Merged Model Arxiv:2403.19522 Base model:bunnycore/qwen-2.5-... Base model:cooperleong00/qwen2... Base model:hoangha/pensez-v0.1... Base model:humanllms/human-lik... Base model:iic/rigochat-7b-v2 Base model:lightblue/karasu-dp... Base model:prithivmlmods/deept... Base model:prithivmlmods/novae... Base model:prithivmlmods/omni-... Base model:prithivmlmods/qwq-l... Base model:prithivmlmods/viper... Base model:qwen/qwen2.5-7b-ins... Base model:xiaojian9992024/qwe... Codegen Conversational Endpoints compatible Instruct Lora Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer

Qwen2.5 7B MS Destroyer Parameters and Internals

LLM Name	Qwen2.5 7B MS Destroyer
Repository 🤗	https://huggingface.co/Xiaojian9992024/Qwen2.5-7B-MS-Destroyer
Base Model(s)	Qwen/Qwen2.5-7B-Instruct Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview Deepthink Reasoning Adapter prithivMLmods/Viper-Coder-HybridMini-v1.3 bunnycore/Qwen-2.5-7b-s1k-lora_model cooperleong00/Qwen2.5-7B-Instruct-Jailbroken Omni Reasoner Merged HumanLLMs/Human-Like-Qwen2.5-7B-Instruct Novaeus Promptist 7B Instruct HoangHa/Pensez-v0.1-e5 Karasu DPO 7B QwQ LCoT2 7B Instruct RigoChat 7B V2 Lekhansh/Qwen2.5_7b_notesCorrector Qwen/Qwen2.5-7B-Instruct Xiaojian9992024/Qwen2.5-Dyanka-7B-Preview prithivMLmods/Deepthink-Reasoning-Adapter prithivMLmods/Viper-Coder-HybridMini-v1.3 bunnycore/Qwen-2.5-7b-s1k-lora_model cooperleong00/Qwen2.5-7B-Instruct-Jailbroken prithivMLmods/Omni-Reasoner-Merged HumanLLMs/Human-Like-Qwen2.5-7B-Instruct prithivMLmods/Novaeus-Promptist-7B-Instruct HoangHa/Pensez-v0.1-e5 lightblue/Karasu-DPO-7B prithivMLmods/QwQ-LCoT2-7B-Instruct IIC/RigoChat-7b-v2 Lekhansh/Qwen2.5_7b_notesCorrector
Merged Model	Yes
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-21
Maintainer	Xiaojian9992024
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
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	4.48.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
LoRA Model	Yes
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 7B MS Destroyer 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 MS Destroyer

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 7B Rebase	986K / 15.2 GB	73	2
Qwen2.5 7B Rebase	986K / 15.2 GB	17	2
StockQwen 2.5 7B	128K / 15.2 GB	69	6
DareQwen 2.5 7B	128K / 15.2 GB	11	1
Tessa T1 7B	117K / 15.2 GB	14	10
UIGEN T1.5 7B	117K / 15.2 GB	12	6
Qwen2.5 Coder 7B Instruct	32K / 15.2 GB	2019400	765
...Sft Reasoning Official Full Ft	32K / 15.2 GB	464	0
Vibe Coder 7B Max	32K / 15.3 GB	460	1
Finsec Detector	32K / 15.2 GB	390	1

Note: green Score (e.g. "73.2") means that the model is better than Xiaojian9992024/Qwen2.5-7B-MS-Destroyer.