Qwarkstar 4B Instruct by qingy2024

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Base model:finetune:qingy2024/... Base model:qingy2024/qwarkstar...   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Qwarkstar 4B Instruct Benchmarks

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

Qwarkstar 4B Instruct Parameters and Internals

LLM NameQwarkstar 4B Instruct
Repository ๐Ÿค—https://huggingface.co/qingy2024/Qwarkstar-4B-Instruct 
Base Model(s)  Qwarkstar 4B   qingy2024/Qwarkstar-4B
Model Size4b
Required VRAM9 GB
Updated2025-01-17
Maintainerqingy2024
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.0 GB: 2-of-2   17.9 GB   0.0 GB   0.0 GB
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than qingy2024/Qwarkstar-4B-Instruct.

Rank the Qwarkstar 4B 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