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Qwen 2.5 7B Threatflux by vtriple

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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: 0.17.

  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 Benchmarks

LLME Score: 0.17417
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen 2.5 7B Threatflux (vtriple/Qwen-2.5-7B-Threatflux)
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Qwen 2.5 7B Threatflux Parameters and Internals

LLM NameQwen 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 Size7b
Required VRAM15.5 GB
Updated2026-04-16
Maintainervtriple
Model Typeqwen2
Instruction-BasedYes
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 QuantizationYes
Quantization Typegguf
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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...der 7B Instruct Abliterated V132K / 15.2 GB222
Securereview 7B Mlx 4bit32K / 4.3 GB152
...2.5 Coder 7B Instruct Bnb 4bit32K / 5.5 GB6791312
Qwen2.5 CoderX 7B V0.732K / 15.2 GB132
Qwen2.5 CoderX 7B V0.532K / 15.2 GB92
Sft Model32K / 15.2 GB70
Qwen2.5 Coder 7B Instruct 4bit32K / 4.3 GB490811
UIGEN 7B 16bit32K / 15.2 GB85
...en2.5.1 Coder 7B Instruct 4bit32K / 4.3 GB6533
...en2.5.1 Coder 7B Instruct 8bit32K / 8.1 GB1563
Note: green Score (e.g. "73.2") means that the model is better than vtriple/Qwen-2.5-7B-Threatflux.

Rank the Qwen 2.5 7B Threatflux Capabilities

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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  

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