Polanka Qwen2 3B V0.1 by piotr-ai

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  Autotrain compatible   Conversational   Endpoints compatible   Ggml   Gguf   Pl   Q8   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Polanka Qwen2 3B V0.1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Polanka Qwen2 3B V0.1 (piotr-ai/polanka-qwen2-3b-v0.1)

Polanka Qwen2 3B V0.1 Parameters and Internals

Supported Languages 
ko (unknown proficiency)
LLM NamePolanka Qwen2 3B V0.1
Repository ๐Ÿค—https://huggingface.co/piotr-ai/polanka-qwen2-3b-v0.1 
Model Size3b
Required VRAM6.9 GB
Updated2025-01-14
Maintainerpiotr-ai
Model Typeqwen2
Model Files  3.6 GB   4.9 GB: 1-of-2   2.0 GB: 2-of-2
Supported Languagespl
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|q8|gguf
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than piotr-ai/polanka-qwen2-3b-v0.1.

Rank the Polanka Qwen2 3B V0.1 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