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UwU 7B Instruct by qingy2024

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  Ara Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   Dataset:qingy2024/fineqwq-142k   Deu   Eng   Fra   Instruct   Ita   Jpn   Kor   Por   Qwen2   Region:us   Rus   Safetensors   Sharded   Spa   Tensorflow   Tha   Vie   Zho
Model Card on HF 🤗: https://huggingface.co/qingy2024/UwU-7B-Instruct 

UwU 7B Instruct Benchmarks

LLME Score: 0.23397
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
UwU 7B Instruct (qingy2024/UwU-7B-Instruct)

UwU 7B Instruct Parameters and Internals

LLM NameUwU 7B Instruct
Repository 🤗https://huggingface.co/qingy2024/UwU-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-05-13
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
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
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to UwU 7B Instruct

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Context / RAM
Downloads
Likes
Qwen2.5 7B Instruct 1M986K / 15.4 GB2224875323
Hush Qwen2.5 7B RP V1.4 1M986K / 15.2 GB542
Qwen2.5 7B RRP 1M986K / 15.2 GB236
Qwen2.5 7B CelestialHarmony 1M986K / 14.8 GB117
Q2.5 Instruct 1M Harmony986K / 15.2 GB142
Impish QWEN 7B 1M986K / 15.2 GB284
COCO 7B Instruct 1M986K / 15.2 GB144
Apollo 7B986K / 15.2 GB60
Qwen2.5 7B Instruct 1M986K / 15.2 GB9602
Qwen2.5 7B Sky R1 Mini986K / 15.2 GB50
Note: green Score (e.g. "73.2") means that the model is better than qingy2024/UwU-7B-Instruct.

Rank the UwU 7B Instruct 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 v20241227
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