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Everyone Coder 4x7b Base by rombodawg

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Everyone Coder 4x7b Base is an open-source language model by rombodawg. Features: 24.2b LLM, VRAM: 48.3GB, Context: 32K, License: cc-by-4.0, MoE, Code Generating, HF Score: 67.6, LLM Explorer Score: 0.17, Arc: 64.5, HellaSwag: 84.8, MMLU: 64.3, TruthfulQA: 49.2, WinoGrande: 79.2, GSM8K: 63.5.

  Codegen   Endpoints compatible   Merge   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Everyone-Coder-4x7b-Base 

Everyone Coder 4x7b Base Benchmarks

ARC: 64.51 vs 96.7 (so35)-33.3%
HellaSwag: 84.81 vs 95.3 (gpt4)-11%
MMLU: 64.27 vs 88.3 (so35)-27.2%
TruthfulQA: 49.16 vs 59 (gpt4)-16.7%
WinoGrande: 79.16 vs 87.5 (gpt4)-9.5%
GSM8K: 63.46 vs 96.4 (so35)-34.2%
LLME Score: 0.16635
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 (rombodawg/Everyone-Coder-4x7b-Base)
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Everyone Coder 4x7b Base Parameters and Internals

Model Type 
coding specific
Additional Notes 
This is the first model in the EveryoneLLM series, designed as a Mixtral-type model using community-finetuned experts.
Training Details 
Data Sources:
fblgit/UNA-TheBeagle-7b-v1, LucciAI/openchat-3.5-0106-function-calling, WizardLM/WizardMath-7B-V1.1, cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
LLM NameEveryone Coder 4x7b Base
Repository 🤗https://huggingface.co/rombodawg/Everyone-Coder-4x7b-Base 
Model Size24.2b
Required VRAM48.3 GB
Updated2026-03-29
Maintainerrombodawg
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licensecc-by-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the Everyone Coder 4x7b Base

Model
Likes
Downloads
VRAM
Everyone Coder 4x7b Base GGUF141548 GB
Everyone Coder 4x7b Base AWQ21913 GB
Everyone Coder 4x7b Base GPTQ4212 GB

Best Alternatives to Everyone Coder 4x7b Base

Best Alternatives
Context / RAM
Downloads
Likes
Sixtyoneeighty 4x7B V132K / 48.3 GB1090
Sixtyoneeighty 4x7B V232K / 48.3 GB00
Everyone Coder 4x7b Base AWQ32K / 13 GB192
Everyone Coder 4x7b Base GPTQ32K / 12.5 GB24

Rank the Everyone Coder 4x7b Base 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
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