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Korean QWEN Coder2.5 14B by ewhk9887

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Korean QWEN Coder2.5 14B is an open-source language model by ewhk9887. Features: 14b LLM, VRAM: 29.7GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, Code Generating, LLM Explorer Score: 0.18.

  4bit   Codegen   Conversational   En   Endpoints compatible   Instruct   Ko   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/ewhk9887/Korean-QWEN-Coder2.5-14B 

Korean QWEN Coder2.5 14B Benchmarks

LLME Score: 0.1788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Korean QWEN Coder2.5 14B (ewhk9887/Korean-QWEN-Coder2.5-14B)
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Korean QWEN Coder2.5 14B Parameters and Internals

LLM NameKorean QWEN Coder2.5 14B
Repository 🤗https://huggingface.co/ewhk9887/Korean-QWEN-Coder2.5-14B 
Base Model(s)  unsloth/qwen2.5-coder-14b-instruct-bnb-4bit   unsloth/qwen2.5-coder-14b-instruct-bnb-4bit
Model Size14b
Required VRAM29.7 GB
Updated2026-04-23
Maintainerewhk9887
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
Supported Languagesen ko
Quantization Type4bit
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.48.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size152064
Torch Data Typefloat16
Errorsreplace

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Qwen2.5 14B YOYO V4986K / 29.7 GB145
ZYH LLM Qwen2.5 14B V2986K / 29.7 GB291
Note: green Score (e.g. "73.2") means that the model is better than ewhk9887/Korean-QWEN-Coder2.5-14B.

Rank the Korean QWEN Coder2.5 14B 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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