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WN VN 14B V0.1 by SakuraLLM

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  Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Vi   Zh
Model Card on HF 🤗: https://huggingface.co/SakuraLLM/WN-VN-14B-v0.1 

WN VN 14B V0.1 Benchmarks

LLME Score: 0.2239
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
WN VN 14B V0.1 (SakuraLLM/WN-VN-14B-v0.1)

WN VN 14B V0.1 Parameters and Internals

LLM NameWN VN 14B V0.1
Repository 🤗https://huggingface.co/SakuraLLM/WN-VN-14B-v0.1 
Model Size14b
Required VRAM29.7 GB
Updated2025-02-22
MaintainerSakuraLLM
Model Typeqwen2
Instruction-BasedYes
Model Files  5.0 GB: 1-of-6   5.0 GB: 2-of-6   5.0 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.7 GB: 6-of-6   0.0 GB
Supported Languageszh vi
Model ArchitectureQwen2ForCausalLM
Licensecc-by-nc-sa-4.0
Context Length32768
Model Max Length32768
Transformers Version4.44.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Q2.5 14B Instruct 1M Harmony986K / 29.7 GB361
Qwen2.5 14B Instruct 1M986K / 29.7 GB3213
...wen2.5 14B Instruct 1M Unalign986K / 29.7 GB3120
Qwen2.5 14B 1M Unalign V2986K / 29.7 GB300
Note: green Score (e.g. "73.2") means that the model is better than SakuraLLM/WN-VN-14B-v0.1.

Rank the WN VN 14B 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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Release v20241227
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