Ct2fast Codegen 2B Multi is an open-source language model by michaelfeil. Features: 2b LLM, VRAM: 5.6GB, License: bsd-3-clause, Code Generating, LLM Explorer Score: 0.07.
Ct2fast Codegen 2B Multi Parameters and Internals
Model Type autoregressive, language model
Use Cases
Areas: Research, Code generation
Applications: Primary Use Cases: Generating executable code from English prompts
Limitations: The model is primarily intended for program synthesis., It may not be suitable for tasks outside code generation.
Considerations: Prompts should preferably be in the form of a comment string.
Additional Notes Benchmarks used for evaluation include HumanEval and MTPB.
Supported Languages English (proficient), C (supported), C++ (supported), Go (supported), Java (supported), JavaScript (supported), Python (supported)
Training Details
Data Sources: BigQuery, GitHub repositories
Data Volume: Methodology: Pre-trained on multiple programming languages
Hardware Used: Model Architecture:
Input Output
Input Format: Accepted Modalities: Output Format: Performance Tips: Use int8_float16 for CUDA device to optimize performance.
Release Notes
Version: Date: Notes: Quantized version of CodeGen-Multi 6B.
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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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