Everyone Coder 33B Base by rombodawg

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Everyone Coder 33B Base Benchmarks

Everyone Coder 33B Base (rombodawg/Everyone-Coder-33b-Base)

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
Updated2025-04-24
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

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VRAM
Everyone Coder 33B Base GGUF12217712 GB
Everyone Coder 33B Base GPTQ31417 GB
Everyone Coder 33B Base AWQ2718 GB

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Note: green Score (e.g. "73.2") means that the model is better than rombodawg/Everyone-Coder-33b-Base.

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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.
Release v20241227