CodeLlama 70B Instruct Neuron by VishaalY

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  Autotrain compatible   Codegen   Endpoints compatible   Instruct   Llama   Pytorch   Region:us

CodeLlama 70B Instruct Neuron Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
CodeLlama 70B Instruct Neuron (VishaalY/CodeLlama-70b-instruct-neuron)

CodeLlama 70B Instruct Neuron Parameters and Internals

Model Type 
Text Generation
Use Cases 
Areas:
Research, Commercial Applications
Applications:
Text Generation
Primary Use Cases:
Code Completion, Code Generation
Additional Notes 
Provides instructions to set up and run the model using AWS-designed silicon.
Input Output 
Input Format:
tokens
Accepted Modalities:
text
Output Format:
generated text
Performance Tips:
Using the specified hardware and software configuration for optimal performance.
LLM NameCodeLlama 70B Instruct Neuron
Repository ๐Ÿค—https://huggingface.co/VishaalY/CodeLlama-70b-instruct-neuron 
Model Size70b
Updated2024-12-22
MaintainerVishaalY
Model Typellama
Instruction-BasedYes
Generates CodeYes
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.37.0.dev0
Vocabulary Size32016
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than VishaalY/CodeLlama-70b-instruct-neuron.

Rank the CodeLlama 70B Instruct Neuron 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 v20241217