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Everyone Coder 4x7b Base GPTQ by TheBloke

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Everyone Coder 4x7b Base GPTQ is an open-source language model by TheBloke. Features: 24.2b LLM, VRAM: 12.5GB, Context: 32K, License: cc-by-4.0, MoE, Quantized, Code Generating, LLM Explorer Score: 0.11.

  4-bit Base model:quantized:rombodawg... Base model:rombodawg/everyone-...   Codegen   Gptq   Merge   Mixtral   Moe   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Everyone-Coder-4x7b-Base-GPTQ 

Everyone Coder 4x7b Base GPTQ Benchmarks

LLME Score: 0.11105
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Everyone Coder 4x7b Base GPTQ (TheBloke/Everyone-Coder-4x7b-Base-GPTQ)
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Everyone Coder 4x7b Base GPTQ Parameters and Internals

Model Type 
mixtral
Use Cases 
Areas:
coding and programming
Applications:
code debugging, function rewriting, code optimization, feature implementation
Primary Use Cases:
coding assistance, debugging support, algorithm optimization
Additional Notes 
The model is part of the EveryoneLLM series, created using experts finetuned by the community. Adapted for specific coding tasks with a focus on community-driven improvements over existing models like Mixtral-8x7b.
LLM NameEveryone Coder 4x7b Base GPTQ
Repository 🤗https://huggingface.co/TheBloke/Everyone-Coder-4x7b-Base-GPTQ 
Model NameEveryone Coder 4X7B Base
Model Creatorrombo dawg
Base Model(s)  Everyone Coder 4x7b Base   rombodawg/Everyone-Coder-4x7b-Base
Model Size24.2b
Required VRAM12.5 GB
Updated2026-03-29
MaintainerTheBloke
Model Typemixtral
Model Files  12.5 GB
GPTQ QuantizationYes
Quantization Typegptq
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Everyone-Coder-4x7b-Base-GPTQ.

Rank the Everyone Coder 4x7b Base GPTQ 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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