Bespoke MiniChart 7B by bespokelabs

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  Conversational   En   Qwen2 5 vl   Region:us   Safetensors   Sharded   Tensorflow

Bespoke MiniChart 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Bespoke MiniChart 7B (bespokelabs/Bespoke-MiniChart-7B)
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Bespoke MiniChart 7B Parameters and Internals

LLM NameBespoke MiniChart 7B
Repository ๐Ÿค—https://huggingface.co/bespokelabs/Bespoke-MiniChart-7B 
Model Size7b
Required VRAM16.6 GB
Updated2025-09-23
Maintainerbespokelabs
Model Typeqwen2_5_vl
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.7 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen2_5_VLForConditionalGeneration
Context Length128000
Model Max Length128000
Transformers Version4.49.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151665
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than bespokelabs/Bespoke-MiniChart-7B.

Rank the Bespoke MiniChart 7B 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 v20241124