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Nano Q2 by NLPark

 »  All LLMs  »  NLPark  »  Nano Q2   URL Share it on

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  Autotrain compatible   Conversational   En   Endpoints compatible   Q2   Quantized   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/NLPark/Nano_Q2 

Nano Q2 Benchmarks

LLME Score: 0.21202
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nano Q2 (NLPark/Nano_Q2)

Nano Q2 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (Full Support)
LLM NameNano Q2
Repository 🤗https://huggingface.co/NLPark/Nano_Q2 
Model Size1.8b
Required VRAM3.5 GB
Updated2024-12-21
MaintainerNLPark
Model Typeqwen2
Model Files  3.5 GB: 1-of-1
Supported Languagesen
Quantization Typeq2
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.42.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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MiniPLM Qwen 500M32K / 1.9 GB5275
MiniPLM Qwen 200M32K / 0.8 GB5020
Orca 2.0 Tau 1.8B32K / 3.7 GB4549
Qwen1.5 1.8B Seed Sft32K / 3.7 GB240
Neural Chat Mini V2.2 1.8B32K / 3.7 GB195
Qwen1.5 Wukong 1.8B32K / 3.7 GB154
Sailor 1.8B Chat32K / 3.7 GB4954
Note: green Score (e.g. "73.2") means that the model is better than NLPark/Nano_Q2.

Rank the Nano Q2 Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241217
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