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

Qwen2.5 Coder 7B Instruct Nuclei 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 Coder 7B Instruct Nuclei and how large is it?

Qwen2.5 Coder 7B Instruct Nuclei is developed by NormanRey, 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 Coder 7B Instruct Nuclei?

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

Qwen2.5 Coder 7B Instruct Nuclei by NormanRey — VRAM 15.2GB, 32K context

Name: Qwen2.5 Coder 7B Instruct Nuclei
Author: NormanRey

Qwen2.5 Coder 7B Instruct Nuclei is an open-source language model by NormanRey. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Instruction-Based, Code Generating, LLM Explorer Score: 0.24.

Base model:adapter:qwen/qwen2.... Base model:qwen/qwen2.5-coder-... Code-generation Codegen Cybersecurity Dataset:normanrey/nuclei-templ... Doi:10.57967/hf/9029 Dora En Instruct Model-index Nuclei Peft Qwen Qwen2 Region:us Safetensors Template-generation Vulnerability

Model Card on HF 🤗: https://huggingface.co/NormanRey/Qwen2.5-Coder-7B-Instruct-Nuclei

Qwen2.5 Coder 7B Instruct Nuclei Parameters and Internals

LLM Name	Qwen2.5 Coder 7B Instruct Nuclei
Repository 🤗	https://huggingface.co/NormanRey/Qwen2.5-Coder-7B-Instruct-Nuclei
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-12
Maintainer	NormanRey
Model Type	qwen2
Instruction-Based	Yes
Model Files	15.2 GB
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	5.7.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Errors	replace

Rank the Qwen2.5 Coder 7B Instruct Nuclei 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 Coder 7B Instruct Nuclei

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
Claude Yolo Vibes V5	32K / 15.2 GB	111	0

Note: green Score (e.g. "73.2") means that the model is better than NormanRey/Qwen2.5-Coder-7B-Instruct-Nuclei.