Thynk by J-LAB

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  Autotrain compatible   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF ๐Ÿค—: https://huggingface.co/J-LAB/Thynk 

Thynk Benchmarks

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

LLM NameThynk
Repository ๐Ÿค—https://huggingface.co/J-LAB/Thynk 
Base Model(s)  Thiny_Extra   /Thiny_Extra
Model Size3.1b
Required VRAM6.2 GB
Updated2024-10-15
MaintainerJ-LAB
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.2 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.45.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Thynk (J-LAB/Thynk)

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Note: green Score (e.g. "73.2") means that the model is better than J-LAB/Thynk.

Rank the Thynk 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