Code 33B AWQ is an open-source language model by TheBloke. Features: 33b LLM, VRAM: 17.6GB, Context: 2K, License: cc-by-nc-nd-4.0, Quantized, LLM Explorer Score: 0.11.
Code generation with explanation in languages such as Python, Java, JavaScript, Go, C++, Rust
Limitations:
May make mistakes in code generation
Considerations:
Use with caution; verify generated code.
Additional Notes
High proficiency in generating and explaining code.
Supported Languages
en (Proficient)
Training Details
Data Sources:
Python-Code-23k-ShareGPT, Code-74k-ShareGPT
Data Volume:
74,000 codes
Methodology:
Full fine-tuning with Vicuna/ShareGPT format
Context Length:
2048
Training Time:
3 epochs, 6 days & 5 hours
Hardware Used:
4 x A100 80GB
Model Architecture:
Llama-1
Input Output
Input Format:
This is a conversation with your helpful AI assistant. AI assistant can generate Code in various Programming Languages along with necessary explanation. Context You are a helpful AI assistant. USER: {prompt} ASSISTANT:
Accepted Modalities:
Text input
Output Format:
Generated code with explanations
Performance Tips:
Using AWQ models on NVidia GPUs can enhance performance.
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Code-33B-AWQ.
Rank the Code 33B AWQ 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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