Everyone Coder 33B V2 Base 8.0bpw H8 EXL2 by LoneStriker

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Everyone Coder 33B V2 Base 8.0bpw H8 EXL2 Benchmarks

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 V2 Base 8.0bpw H8 EXL2 Parameters and Internals

LLM NameEveryone Coder 33B V2 Base 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Everyone-Coder-33b-v2-Base-8.0bpw-h8-exl2 
Model Size33b
Required VRAM33.5 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-4   8.5 GB: 2-of-4   8.5 GB: 3-of-4   7.9 GB: 4-of-4
Quantization Typeexl2
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<|end▁of▁sentence|>
Vocabulary Size32256
Torch Data Typefloat16
Everyone Coder 33B V2 Base 8.0bpw H8 EXL2 (LoneStriker/Everyone-Coder-33b-v2-Base-8.0bpw-h8-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Everyone-Coder-33b-v2-Base-8.0bpw-h8-exl2.

Rank the Everyone Coder 33B V2 Base 8.0bpw H8 EXL2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803