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Ct2fast Codegen2 16B by michaelfeil

 »  All LLMs  »  michaelfeil  »  Ct2fast Codegen2 16B   URL Share it on

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  Arxiv:2305.02309   Ctranslate2   Endpoints compatible   Float16   Int8   Region:us
Model Card on HF 🤗: https://huggingface.co/michaelfeil/ct2fast-codegen2-16B 

Ct2fast Codegen2 16B Benchmarks

LLME Score: 0.10266
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Ct2fast Codegen2 16B (michaelfeil/ct2fast-codegen2-16B)

Ct2fast Codegen2 16B Parameters and Internals

Model Type 
program synthesis, autoregressive language model
Use Cases 
Areas:
program synthesis
Applications:
feature extraction, code generation, completion of partially generated code
Primary Use Cases:
generating executable code given English prompts
Limitations:
The model is best at program synthesis and its performance on other tasks is unknown.
Additional Notes 
This version is quantized for faster inference with Ctranslate2, reducing memory requirements by 2x-4x using int8 inference.
Supported Languages 
c (high), c++ (high), c-sharp (high), dart (high), go (high), java (high), javascript (high), kotlin (high), lua (high), php (high), python (high), ruby (high), rust (high), scala (high), shell (high), sql (high), swift (high), typescript (high), vue (high)
Training Details 
Data Sources:
the deduplicated version of the Stack dataset (v1.1)
Methodology:
cross-entropy loss for causal language modeling and file-level span corruption
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text or code
LLM NameCt2fast Codegen2 16B
Repository 🤗https://huggingface.co/michaelfeil/ct2fast-codegen2-16B 
Model Size16b
Required VRAM32.1 GB
Updated2025-02-22
Maintainermichaelfeil
Model Files  32.1 GB
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length1024
Tokenizer ClassGPT2Tokenizer

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Note: green Score (e.g. "73.2") means that the model is better than michaelfeil/ct2fast-codegen2-16B.

Rank the Ct2fast Codegen2 16B 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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