ReasonableQwen3 4B by adeelahmad

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ReasonableQwen3 4B is an open-source language model by adeelahmad. Features: 4b LLM, VRAM: 8GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.23.

  Adapter Base model:quantized:qwen/qwen... Base model:qwen/qwen3-4b-think...   Conversational   Doi:10.57967/hf/6375   Endpoints compatible   Finetuned   Gguf   Lora   Mlx   Q8   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow

ReasonableQwen3 4B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

ReasonableQwen3 4B Parameters and Internals

LLM NameReasonableQwen3 4B
Repository 🤗https://huggingface.co/adeelahmad/ReasonableQwen3-4B 
Base Model(s)  Qwen3 4B Thinking 2507   Qwen/Qwen3-4B-Thinking-2507
Model Size4b
Required VRAM8 GB
Updated2026-05-10
Maintaineradeelahmad
Model Typeqwen3
Model Files  8.1 GB   4.3 GB   8.1 GB   2.1 GB   2.5 GB   4.3 GB   5.3 GB: 1-of-2   2.7 GB: 2-of-2   8.0 GB
GGUF QuantizationYes
Quantization Typeq8|gguf
Model ArchitectureAdapter
Licenseapache-2.0
Context Length40960
Model Max Length262144
Transformers Version4.51.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
LoRA ModelYes
LoRA Alpha0
LoRA Dropout0
R Param0
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than adeelahmad/ReasonableQwen3-4B.

Rank the ReasonableQwen3 4B 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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Release v20260328a