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CodeLlama 7B Instruct Fp16 by TheBloke

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CodeLlama 7B Instruct Fp16 Benchmarks

LLME Score: 0.13774
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

Model Type 
instruction following, code synthesis, text generation
Use Cases 
Areas:
Commercial, Research
Applications:
Code synthesis, Code understanding, Code assistive applications
Primary Use Cases:
Code assistant, Code generation
Limitations:
Use in languages other than English, Code use not covered by safety evaluations
Considerations:
Perform safety testing tailored to specific applications.
Additional Notes 
Model variants are designed for Python and safer deployment applications.
Supported Languages 
English (Full support), Python (Highly specialized support), Other programming languages (Partial support)
Training Details 
Methodology:
Fine-tuned with instruction data
Context Length:
100000
Hardware Used:
A100-80GB
Model Architecture:
Autoregressive, transformer architecture
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
Updated2024-11-21
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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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