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Qwen3 4B Noss by beyoru

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Qwen3 4B Noss is an open-source language model by beyoru. Features: 4b LLM, VRAM: 8.1GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.23.

  Autotrain compatible Base model:beyoru/qwen3-4b-nos... Base model:finetune:beyoru/qwe...   Conversational   En   Endpoints compatible   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/beyoru/Qwen3-4B-noss 

Qwen3 4B Noss Benchmarks

LLME Score: 0.22841
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 4B Noss (beyoru/Qwen3-4B-noss)
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Qwen3 4B Noss Parameters and Internals

LLM NameQwen3 4B Noss
Repository 🤗https://huggingface.co/beyoru/Qwen3-4B-noss 
Base Model(s)  Qwen3 4B Noss   beyoru/Qwen3-4B-noss
Model Size4b
Required VRAM8.1 GB
Updated2025-09-06
Maintainerbeyoru
Model Typeqwen3
Model Files  2.5 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 Length32768
Model Max Length32768
Transformers Version4.55.4
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than beyoru/Qwen3-4B-noss.

Rank the Qwen3 4B Noss Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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