Mini Coder 4B by ricdomolm

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Mini Coder 4B is an open-source language model by ricdomolm. Features: 4b LLM, VRAM: 8.1GB, Context: 256K, License: mit, Instruction-Based, Code Generating, LLM Explorer Score: 0.21.

  Arxiv:2603.22404   Agent Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-4b-instr...   Code   Codegen   Conversational Dataset:ricdomolm/mini-coder-t...   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow

Mini Coder 4B Benchmarks

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

Mini Coder 4B Parameters and Internals

LLM NameMini Coder 4B
Repository 🤗https://huggingface.co/ricdomolm/mini-coder-4b 
Base Model(s)  Qwen3 4B Instruct 2507   Qwen/Qwen3-4B-Instruct-2507
Model Size4b
Required VRAM8.1 GB
Updated2026-07-02
Maintainerricdomolm
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Generates CodeYes
Model ArchitectureQwen3ForCausalLM
Licensemit
Context Length262144
Model Max Length262144
Transformers Version4.56.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

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Rank the Mini Coder 4B 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 v20260328a