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Everyone Coder 33B Base AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:quantized:rombodawg... Base model:rombodawg/everyone-...   Codegen   Conversational   Llama   Merge   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Everyone-Coder-33B-Base-AWQ 

Everyone Coder 33B Base AWQ Benchmarks

LLME Score: 0.16266
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 AWQ (TheBloke/Everyone-Coder-33B-Base-AWQ)

Everyone Coder 33B Base AWQ Parameters and Internals

Model Type 
deepseek
LLM NameEveryone Coder 33B Base AWQ
Repository 🤗https://huggingface.co/TheBloke/Everyone-Coder-33B-Base-AWQ 
Model NameEveryone Coder 33B Base
Model Creatorrombo dawg
Base Model(s)  Everyone Coder 33B Base   rombodawg/Everyone-Coder-33b-Base
Model Size33b
Required VRAM18.1 GB
Updated2025-02-06
MaintainerTheBloke
Model Typedeepseek
Model Files  10.0 GB: 1-of-2   8.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length16384
Model Max Length16384
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizerFast
Beginning of Sentence Token<｜begin▁of▁sentence｜>
End of Sentence Token<|EOT|>
Vocabulary Size32256
Torch Data Typefloat16

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

Rank the Everyone Coder 33B Base AWQ 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  
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Release v20241227
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