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WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B by WhiteRabbitNeo

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WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B is an open-source language model by WhiteRabbitNeo. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Fine-Tuned, Code Generating, LLM Explorer Score: 0.17.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-...   Code   Codegen   Conversational   En   Endpoints compatible   Finetuned   Qwen-coder   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B 

WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B Benchmarks

LLME Score: 0.16927
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B (WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B)
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WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B Parameters and Internals

Model Type 
text-generation, code
Use Cases 
Areas:
offensive and defensive cybersecurity
Applications:
research, commercial applications, cybersecurity
Additional Notes 
WhiteRabbitNeo models are released as a public preview to assess the societal impact.
Supported Languages 
en (high)
Input Output 
Input Format:
ChatML Prompt Format
Accepted Modalities:
text
Output Format:
Decodes generated tokens into text
Performance Tips:
Setting parameters such as 'top_k', 'top_p', and 'temperature' appropriately can affect performance.
LLM NameWhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B
Repository 🤗https://huggingface.co/WhiteRabbitNeo/WhiteRabbitNeo-2.5-Qwen-2.5-Coder-7B 
Base Model(s)  Qwen/Qwen2.5-Coder-7B   Qwen/Qwen2.5-Coder-7B
Model Size7b
Required VRAM15.2 GB
Updated2026-03-15
MaintainerWhiteRabbitNeo
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4   0.0 GB   0.0 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<pad>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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

Rank the WhiteRabbitNeo 2.5 Qwen 2.5 Coder 7B Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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