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Everyone Coder 33B Base by rombodawg

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Everyone Coder 33B Base is an open-source language model by rombodawg. Features: 33b LLM, VRAM: 66.5GB, Context: 16K, License: other, Code Generating, HF Score: 49.5, LLM Explorer Score: 0.15, Arc: 46, HellaSwag: 61.7, MMLU: 44.1, TruthfulQA: 42.3, WinoGrande: 63.1, GSM8K: 39.8.

  Codegen   Conversational   Deploy:azure   Endpoints compatible   Llama   Merge   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/rombodawg/Everyone-Coder-33b-Base 

Everyone Coder 33B Base Benchmarks

ARC: 45.99 vs 96.7 (so35)-52.4%
HellaSwag: 61.71 vs 95.3 (gpt4)-35.2%
MMLU: 44.05 vs 88.3 (so35)-50.1%
TruthfulQA: 42.26 vs 59 (gpt4)-28.4%
WinoGrande: 63.06 vs 87.5 (gpt4)-27.9%
GSM8K: 39.8 vs 96.4 (so35)-58.7%
LLME Score: 0.14885
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Everyone Coder 33B Base (rombodawg/Everyone-Coder-33b-Base)
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Everyone Coder 33B Base Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
coding
Additional Notes 
Model faces challenges with end tokens, prompting a custom template design.
Input Output 
Input Format:
Custom prompt template with end token '<|EOT|>'.
Accepted Modalities:
text
Output Format:
Text output with '<|EOT|>' end token.
Performance Tips:
Utilize '<|EOT|>' as the stop string in the text generating interface.
LLM NameEveryone Coder 33B Base
Repository 🤗https://huggingface.co/rombodawg/Everyone-Coder-33b-Base 
Model Size33b
Required VRAM66.5 GB
Updated2026-03-29
Maintainerrombodawg
Model Typellama
Model Files  9.7 GB: 1-of-7   9.8 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.9 GB: 5-of-7   9.9 GB: 6-of-7   7.6 GB: 7-of-7
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<|EOT|>
Vocabulary Size32256
Torch Data Typefloat16

Quantized Models of the Everyone Coder 33B Base

Model
Likes
Downloads
VRAM
Everyone Coder 33B Base GGUF1232112 GB
Everyone Coder 33B Base GPTQ32017 GB
Everyone Coder 33B Base AWQ2518 GB

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ValidateAI 2 33B AT16K / 66.5 GB50
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F2C Translator16K / 67.3 GB01
Llm4decompile 33B16K / 66.5 GB18
Note: green Score (e.g. "73.2") means that the model is better than rombodawg/Everyone-Coder-33b-Base.

Rank the Everyone Coder 33B 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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