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VLSP Qwen3 4B NHK Based by htNghiaaa

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  Autotrain compatible Base model:finetune:htnghiaaa/... Base model:htnghiaaa/vlsp-qwen...   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/htNghiaaa/VLSP-qwen3-4b-NHK-based 

VLSP Qwen3 4B NHK Based Benchmarks

LLME Score: 0.27036
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
VLSP Qwen3 4B NHK Based (htNghiaaa/VLSP-qwen3-4b-NHK-based)
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VLSP Qwen3 4B NHK Based Parameters and Internals

LLM NameVLSP Qwen3 4B NHK Based
Repository 🤗https://huggingface.co/htNghiaaa/VLSP-qwen3-4b-NHK-based 
Base Model(s)  VLSP Qwen3 4B Htnghiaaa   htNghiaaa/VLSP-qwen3-4b-htnghiaaa
Model Size4b
Required VRAM8.9 GB
Updated2025-08-17
MaintainerhtNghiaaa
Model Typeqwen3
Model Files  3.3 GB: 1-of-4   2.5 GB: 2-of-4   2.5 GB: 3-of-4   0.6 GB: 4-of-4
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.55.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than htNghiaaa/VLSP-qwen3-4b-NHK-based.

Rank the VLSP Qwen3 4B NHK Based 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 v20241124
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