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CodeLlama 7B Instruct Fp16 by TheBloke

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CodeLlama 7B Instruct Fp16 Benchmarks

LLME Score: 0.14731
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 Fp16 Parameters and Internals

LLM NameCodeLlama 7B Instruct Fp16
Repository 🤗https://huggingface.co/TheBloke/CodeLlama-7B-Instruct-fp16 
Base Model(s)  Codellama 7B Instruct Slerp   tyson0420/codellama-7B-instruct-slerp
Model Size7b
Required VRAM13.5 GB
Updated2024-09-16
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-2   3.5 GB: 2-of-2
Quantization Typefp16
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length16384
Model Max Length16384
Transformers Version4.32.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32016
Torch Data Typefloat16
CodeLlama 7B Instruct Fp16 (TheBloke/CodeLlama-7B-Instruct-fp16)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/CodeLlama-7B-Instruct-fp16.

Rank the CodeLlama 7B Instruct Fp16 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  
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Release v2024072803
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