What are the hardware requirements for Qwen 2.5 7B Threatflux?

Qwen 2.5 7B Threatflux requires approximately 15.5 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 Threatflux and how large is it?

Qwen 2.5 7B Threatflux is developed by vtriple, 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 Threatflux?

Qwen 2.5 7B Threatflux 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 Threatflux by vtriple — VRAM 15.5GB, 32K context

Name: Qwen 2.5 7B Threatflux
Author: vtriple

Qwen 2.5 7B Threatflux is an open-source language model by vtriple. Features: 7b LLM, VRAM: 15.5GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.16.

Arxiv:2407.10671 Arxiv:2409.12186 Base model:quantized:qwen/qwen... Base model:qwen/qwen2.5-coder-... Codegen Conversational Endpoints compatible Gguf Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/vtriple/Qwen-2.5-7B-Threatflux

Qwen 2.5 7B Threatflux Parameters and Internals

LLM Name	Qwen 2.5 7B Threatflux
Repository 🤗	https://huggingface.co/vtriple/Qwen-2.5-7B-Threatflux
Base Model(s)	Qwen/Qwen2.5-Coder-7B-Instruct Qwen/Qwen2.5-Coder-7B-Instruct
Model Size	7b
Required VRAM	15.5 GB
Updated	2026-07-20
Maintainer	vtriple
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.9 GB: 1-of-9 1.9 GB: 2-of-9 1.9 GB: 3-of-9 1.9 GB: 4-of-9 1.9 GB: 5-of-9 1.9 GB: 6-of-9 1.9 GB: 7-of-9 1.1 GB: 8-of-9 1.1 GB: 9-of-9 30.5 GB
GGUF Quantization	Yes
Quantization Type	gguf
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.46.1
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	152064
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen 2.5 7B Threatflux 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 Threatflux

Best Alternatives	Context / RAM	Downloads	Likes
...der 7B Instruct Abliterated V1	32K / 15.2 GB	32	3
Text2sql Qwen2.5 Duckdb	32K / 15.2 GB	336	1
...query Qwen2.5 7B V5.2 Hardened	32K / 15.2 GB	478	0
Securereview 7B Mlx 4bit	32K / 4.3 GB	22	4
...2.5 Coder 7B Instruct Bnb 4bit	32K / 5.5 GB	74603	13
Qwen2.5 CoderX 7B V0.7	32K / 15.2 GB	5	2
Qwen2.5 Coder 7B Instruct 4bit	32K / 4.3 GB	13602	17
Qwen2.5 CoderX 7B V0.5	32K / 15.2 GB	6	2
Sft Model	32K / 15.2 GB	9	0
UIGEN 7B 16bit	32K / 15.2 GB	14	5

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