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Everyone Coder 33B Base by rombodawg

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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: 0.22451
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 Parameters and Internals

LLM NameEveryone Coder 33B Base
Repository 🤗https://huggingface.co/rombodawg/Everyone-Coder-33b-Base 
Model Size33b
Required VRAM66.5 GB
Updated2024-09-07
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
Everyone Coder 33B Base (rombodawg/Everyone-Coder-33b-Base)

Quantized Models of the Everyone Coder 33B Base

Model
Likes
Downloads
VRAM
Everyone Coder 33B Base GGUF1253112 GB
Everyone Coder 33B Base GPTQ21617 GB
Everyone Coder 33B Base AWQ21218 GB

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Deepseek Coder 33B Base16K / 66.5 GB202067
Llm4decompile 33B16K / 66.5 GB47
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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Release v2024072803
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