UwU 7B Instruct by qingy2024

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Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-7b   Conversational   Dataset:qingy2024/fineqwq-142k   En   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

UwU 7B Instruct Benchmarks

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 ๐Ÿค—https://huggingface.co/qingy2024/UwU-7B-Instruct 
Base Model(s)  Qwen/Qwen2.5-7B   Qwen/Qwen2.5-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-02-05
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   30.5 GB   0.0 GB   0.0 GB
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

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Qwen2.5 7B Instruct 1M986K / 15.4 GB25044175
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COCO 7B Instruct 1M986K / 15.2 GB738
Q2.5 Instruct 1M Harmony986K / 15.2 GB350
Impish QWEN 7B 1M986K / 15.2 GB391
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MwM 7B CoT Merge1986K / 15.2 GB222
Mergekit Della Linear Vmeykci986K / 16.2 GB110
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....5 7B DeepSeek BunnyHarmony 1M986K / 14.8 GB01
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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227