Llama3 8B Redmond Code290k Parameters and Internals
Model Type
LlamaForCausalLM
Use Cases
Areas:
coding assistance, education, knowledge sharing
Applications:
generating code, providing explanations for code
Primary Use Cases:
code generation, code documentation, education
Limitations:
may not perform well on rare programming languages, may not generalize to unseen styles, may struggle with complex code, may not handle ambiguous prompts
Supported Languages
Python (proficient), Java (proficient), JavaScript (proficient), GO (proficient), C++ (proficient), Rust (proficient), Ruby (proficient), SQL (proficient), MySQL (proficient), R (proficient), Julia (proficient), Haskell (proficient)
Note: green Score (e.g. "73.2") means that the model is better than artificialguybr/llama3-8b-redmond-code290k.
Rank the Llama3 8B Redmond Code290k 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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