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Ct2fast Codegen 16B Mono by michaelfeil

 »  All LLMs  »  michaelfeil  »  Ct2fast Codegen 16B Mono   URL Share it on

  6   
  Arxiv:2203.13474   Codegen   Ctranslate2   Endpoints compatible   Float16   Int8   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-codegen-16B-mono 

Ct2fast Codegen 16B Mono Benchmarks

LLME Score: 0.1026
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast Codegen 16B Mono (michaelfeil/ct2fast-codegen-16B-mono)

Ct2fast Codegen 16B Mono Parameters and Internals

Model Type 
autoregressive, language model
Use Cases 
Areas:
program synthesis
Primary Use Cases:
generating executable code given English prompts
Limitations:
Requires English prompts in the form of a comment string
Additional Notes 
This is just a quantized version. Checkpoint compatible to ctranslate2>=3.13.0.
Supported Languages 
Python (high)
Training Details 
Data Sources:
BigPython dataset
Data Volume:
71.7B tokens
Methodology:
cross-entropy loss to maximize likelihood of sequential inputs
Hardware Used:
multiple TPU-v4-512 by Google
LLM NameCt2fast Codegen 16B Mono
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-codegen-16B-mono 
Model Size16b
Required VRAM32.1 GB
Updated2025-02-22
Maintainermichaelfeil
Model Files  32.1 GB
Generates CodeYes
Model ArchitectureAutoModel
Licensebsd-3-clause
Model Max Length2048
Tokenizer ClassCodeGenTokenizer

Rank the Ct2fast Codegen 16B Mono 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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Release v20241227
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