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Codegen 16B Multi 6 Parts by BlackSamorez

 »  All LLMs  »  BlackSamorez  »  Codegen 16B Multi 6 Parts   URL Share it on

  17   
  Arxiv:2203.13474   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/BlackSamorez/codegen-16B-multi-6-parts 

Codegen 16B Multi 6 Parts Benchmarks

LLME Score: 0.08788
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 16B Multi 6 Parts (BlackSamorez/codegen-16B-multi-6-parts)

Codegen 16B Multi 6 Parts Parameters and Internals

Model Type 
text generation, program synthesis
Use Cases 
Areas:
research, commercial applications
Applications:
program synthesis, code generation
Primary Use Cases:
Generating executable code from English prompts, Completing partially generated code
Limitations:
Only best at program synthesis tasks
Considerations:
Prompts should be in the form of a comment string
Supported Languages 
Python (High), C (High), C++ (High), Go (High), Java (High), JavaScript (High)
Training Details 
Data Sources:
BigQuery, GitHub repositories
Data Volume:
119.2B tokens
Methodology:
Cross-entropy loss to maximize likelihood of sequential inputs
Hardware Used:
TPU-v4-512
Model Architecture:
Autoregressive language model
LLM NameCodegen 16B Multi 6 Parts
Repository 🤗https://huggingface.co/BlackSamorez/codegen-16B-multi-6-parts 
Model Size16b
Required VRAM32.2 GB
Updated2025-03-12
MaintainerBlackSamorez
Model Typecodegen
Model Files  5.8 GB: 1-of-6   6.0 GB: 2-of-6   5.8 GB: 3-of-6   6.0 GB: 4-of-6   5.8 GB: 5-of-6   2.8 GB: 6-of-6
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.21.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than BlackSamorez/codegen-16B-multi-6-parts.

Rank the Codegen 16B Multi 6 Parts 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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