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Pretrained Qwen2.5 3B NCKH by baesad

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Pretrained Qwen2.5 3B NCKH is an open-source language model by baesad. Features: 3b LLM, VRAM: 6.8GB, Context: 32K, Quantized, LLM Explorer Score: 0.17.

  Arxiv:1910.09700   Endpoints compatible   Pytorch   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/baesad/Pretrained-Qwen2.5-3B-NCKH 

Pretrained Qwen2.5 3B NCKH Benchmarks

LLME Score: 0.17472
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Pretrained Qwen2.5 3B NCKH (baesad/Pretrained-Qwen2.5-3B-NCKH)
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Pretrained Qwen2.5 3B NCKH Parameters and Internals

LLM NamePretrained Qwen2.5 3B NCKH
Repository 🤗https://huggingface.co/baesad/Pretrained-Qwen2.5-3B-NCKH 
Model Size3b
Required VRAM6.8 GB
Updated2025-12-27
Maintainerbaesad
Model Typeqwen2
Model Files  5.0 GB: 1-of-2   1.8 GB: 2-of-2   5.0 GB: 1-of-2   1.8 GB: 2-of-2
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than baesad/Pretrained-Qwen2.5-3B-NCKH.

Rank the Pretrained Qwen2.5 3B NCKH 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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