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CodeLlama 7B Instruct Hf Dequantized by predibase

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CodeLlama 7B Instruct Hf Dequantized Benchmarks

LLME Score: 0.20733
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CodeLlama 7B Instruct Hf Dequantized Parameters and Internals

LLM NameCodeLlama 7B Instruct Hf Dequantized
Repository 🤗https://huggingface.co/predibase/CodeLlama-7b-Instruct-hf-dequantized 
Base Model(s)  CodeLlama 7B Instruct Hf   codellama/CodeLlama-7b-Instruct-hf
Model Size7b
Required VRAM13.5 GB
Updated2024-08-10
Maintainerpredibase
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3
Supported Languagesen
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length16384
Model Max Length16384
Transformers Version4.39.3
Tokenizer ClassCodeLlamaTokenizer
Padding Token<unk>
Vocabulary Size32016
Torch Data Typebfloat16
CodeLlama 7B Instruct Hf Dequantized (predibase/CodeLlama-7b-Instruct-hf-dequantized)

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Note: green Score (e.g. "73.2") means that the model is better than predibase/CodeLlama-7b-Instruct-hf-dequantized.

Rank the CodeLlama 7B Instruct Hf Dequantized Capabilities

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Instruction Following and Task Automation  
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Data Analysis and Insight Generation  
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Release v20241110
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