Ct2fast Codegen2 1B by michaelfeil

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  Arxiv:2305.02309   Ctranslate2   Endpoints compatible   Float16   Int8   Region:us

Ct2fast Codegen2 1B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast Codegen2 1B (michaelfeil/ct2fast-codegen2-1B)

Ct2fast Codegen2 1B Parameters and Internals

Model Type 
autoregressive, program synthesis, causal language model
Use Cases 
Areas:
code completion, program synthesis
Applications:
commercial applications, research
Primary Use Cases:
text generation for programming languages, program synthesis
Limitations:
Works best with English prompts and may have biased outputs due to the training dataset.
Additional Notes 
This quantized version maintains the original licensing conditions from the Salesforce repo.
Supported Languages 
c (unknown), c++ (unknown), c-sharp (unknown), dart (unknown), go (unknown), java (unknown), javascript (unknown), kotlin (unknown), lua (unknown), php (unknown), python (unknown), ruby (unknown), rust (unknown), scala (unknown), shell (unknown), sql (unknown), swift (unknown), typescript (unknown), vue (unknown)
Training Details 
Data Sources:
deduplicated version of the Stack dataset (v1.1)
Data Volume:
unknown
Methodology:
cross-entropy loss for causal language modeling and file-level span corruption.
Model Architecture:
Unknown
Input Output 
Input Format:
Tokenized input format necessary
Accepted Modalities:
text
Output Format:
Tokenized text
Performance Tips:
Quantization and appropriate hardware usage can significantly boost performance.
Release Notes 
Version:
unknown
Date:
2023-05-21
Notes:
Converted using ct2-transformers-converter with quantization float16.
LLM NameCt2fast Codegen2 1B
Repository ๐Ÿค—https://huggingface.co/michaelfeil/ct2fast-codegen2-1B 
Model Size1b
Required VRAM2 GB
Updated2025-03-12
Maintainermichaelfeil
Model Files  2.0 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length1024
Tokenizer ClassGPT2Tokenizer

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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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227