DailyChat 350M by DarwinAnim8or

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  Autotrain compatible   Chat   Co2 eq emissions   Codegen   Dataset:daily dialog   Dialog   En   Endpoints compatible   Pytorch   Region:us   Safetensors

DailyChat 350M Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
DailyChat 350M (DarwinAnim8or/DailyChat-350M)

DailyChat 350M Parameters and Internals

Model Type 
dialog generation, chat agent
Use Cases 
Primary Use Cases:
Dialog generation, chat agents
Limitations:
Contains biases from original model and dataset, potential to generate offensive input.
Supported Languages 
en (proficient)
Training Details 
Data Sources:
daily_dialog
Methodology:
fine-tuning
Hardware Used:
1x NVIDIA P100, Kaggle
Responsible Ai Considerations 
Mitigation Strategies:
User discretion is advised due to potential to generate offensive input.
LLM NameDailyChat 350M
Repository ๐Ÿค—https://huggingface.co/DarwinAnim8or/DailyChat-350M 
Model Size350m
Required VRAM1.5 GB
Updated2025-02-22
MaintainerDarwinAnim8or
Model Typecodegen
Model Files  1.5 GB   1.5 GB
Supported Languagesen
Generates CodeYes
Model ArchitectureCodeGenForCausalLM
Licensebsd-3-clause
Model Max Length2048
Transformers Version4.27.4
Tokenizer ClassGPT2Tokenizer
Vocabulary Size51200
Torch Data Typefloat32
Activation Functiongelu_new

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Note: green Score (e.g. "73.2") means that the model is better than DarwinAnim8or/DailyChat-350M.

Rank the DailyChat 350M 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227