Pretrained Qwen2.5 3B NCKH by baesad

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  Arxiv:1910.09700   4bit   Autotrain compatible   Endpoints compatible   Pytorch   Quantized   Qwen2   Region:us   Safetensors   Sft   Sharded   Tensorflow   Trl   Unsloth

Pretrained Qwen2.5 3B NCKH Benchmarks

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)

Pretrained Qwen2.5 3B NCKH Parameters and Internals

LLM NamePretrained Qwen2.5 3B NCKH
Repository ๐Ÿค—https://huggingface.co/baesad/Pretrained-Qwen2.5-3B-NCKH 
Model Size3b
Required VRAM6.8 GB
Updated2025-04-30
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 Version4.48.3
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.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227