Qwen2.5 3B Instruct Catgirl V2 by kxdw2580

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Qwen2.5 3B Instruct Catgirl V2 is an open-source language model by kxdw2580. Features: 3b LLM, VRAM: 6.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Ara Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-3b-ins...   Conversational Dataset:kxdw2580/catgirl-datas...   Deu   Endpoints compatible   Eng   Fra   Instruct   Ita   Jpn   Kor   Llama-factory   Por   Qwen2   Region:us   Rus   Safetensors   Spa   Tha   Vie   Zho

Qwen2.5 3B Instruct Catgirl V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen2.5 3B Instruct Catgirl V2 (kxdw2580/Qwen2.5-3B-Instruct-Catgirl-v2)
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Qwen2.5 3B Instruct Catgirl V2 Parameters and Internals

LLM NameQwen2.5 3B Instruct Catgirl V2
Repository ๐Ÿค—https://huggingface.co/kxdw2580/Qwen2.5-3B-Instruct-Catgirl-v2 
Base Model(s)  Qwen/Qwen2.5-3B-Instruct   Qwen/Qwen2.5-3B-Instruct
Model Size3b
Required VRAM6.2 GB
Updated2026-03-23
Maintainerkxdw2580
Model Typeqwen2
Instruction-BasedYes
Model Files  6.2 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.51.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Saba2 3B128K / 6.2 GB70
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Qwen2.5 3B Instruct32K / 6.2 GB4746260319
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Chirp 0132K / 6.2 GB714
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Qwen2.5 3B Model Stock V3.132K / 6.8 GB63
Qwen2.5 3B Model Stock V4.132K / 6.8 GB52
Note: green Score (e.g. "73.2") means that the model is better than kxdw2580/Qwen2.5-3B-Instruct-Catgirl-v2.

Rank the Qwen2.5 3B Instruct Catgirl V2 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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Release v20260328a