IQuest Coder V1 7B Thinking by IQuestLab

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IQuest Coder V1 7B Thinking is an open-source language model by IQuestLab. Features: 7b LLM, VRAM: 15.3GB, Context: 128K, License: other, Code Generating, LLM Explorer Score: 0.26.

  Arxiv:2512.13472   Arxiv:2512.22087   Arxiv:2512.23611   Codegen   Conversational   Custom code   En   Iquestcoder   Region:us   Safetensors   Sharded   Tensorflow

IQuest Coder V1 7B Thinking Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
IQuest Coder V1 7B Thinking (IQuestLab/IQuest-Coder-V1-7B-Thinking)
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IQuest Coder V1 7B Thinking Parameters and Internals

LLM NameIQuest Coder V1 7B Thinking
Repository ๐Ÿค—https://huggingface.co/IQuestLab/IQuest-Coder-V1-7B-Thinking 
Model Size7b
Required VRAM15.3 GB
Updated2026-03-28
MaintainerIQuestLab
Model Typeiquestcoder
Model Files  4.8 GB: 1-of-4   4.9 GB: 2-of-4   4.8 GB: 3-of-4   0.8 GB: 4-of-4
Supported Languagesen
Generates CodeYes
Model ArchitectureIQuestCoderForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.55.4
Tokenizer ClassIQuestCoderTokenizer
Padding Token<|endoftext|>
Vocabulary Size76800
Torch Data Typebfloat16

Rank the IQuest Coder V1 7B Thinking 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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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a