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Codegen 16B Mono Toolbench by sambanovasystems

 »  All LLMs  »  sambanovasystems  »  Codegen 16B Mono Toolbench   URL Share it on

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  Arxiv:2203.13474   Arxiv:2305.16504   Autotrain compatible   Codegen   Endpoints compatible   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/sambanovasystems/codegen-16B-mono-toolbench 

Codegen 16B Mono Toolbench Benchmarks

LLME Score: 0.10208
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Codegen 16B Mono Toolbench (sambanovasystems/codegen-16B-mono-toolbench)

Codegen 16B Mono Toolbench Parameters and Internals

Model Type 
Language Model
Use Cases 
Areas:
Commercial use, Research use
Limitations:
Should not be used for purposes other than API-based action generation
Additional Notes 
This model is instruction tuned for API-based action generation.
Supported Languages 
English (Proficient)
Training Details 
Data Sources:
API based action generation datasets
Data Volume:
9704 training samples
Methodology:
Instruction tuning
Hardware Used:
4 80GB A100 GPUs
LLM NameCodegen 16B Mono Toolbench
Repository 🤗https://huggingface.co/sambanovasystems/codegen-16B-mono-toolbench 
Model Size16b
Required VRAM128.4 GB
Updated2025-03-12
Maintainersambanovasystems
Model Typecodegen
Model Files  32.1 GB: 1-of-4   32.1 GB: 2-of-4   32.1 GB: 3-of-4   32.1 GB: 4-of-4
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat16
Activation Functiongelu_new

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Codegen 16B Mono0K / 32.2 GB568125
Note: green Score (e.g. "73.2") means that the model is better than sambanovasystems/codegen-16B-mono-toolbench.

Rank the Codegen 16B Mono Toolbench Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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