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Dummy Mistral 5B by huseinzol05

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  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/huseinzol05/dummy-mistral-5b 

Dummy Mistral 5B Benchmarks

LLME Score: 0.11981
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dummy Mistral 5B (huseinzol05/dummy-mistral-5b)
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Dummy Mistral 5B Parameters and Internals

Model Type 
language model
Use Cases 
Areas:
pretraining
Applications:
academic experiment
Primary Use Cases:
dummy initialization
Limitations:
Not suitable for any real task
Considerations:
This model is intended solely as a training exercise.
Additional Notes 
This initialization model is not intended for production or real-completion use.
Supported Languages 
Malay (native)
Training Details 
Data Sources:
dummy data
Data Volume:
minimal
Methodology:
dummy initialization
Model Architecture:
Transformer-based
LLM NameDummy Mistral 5B
Repository 🤗https://huggingface.co/huseinzol05/dummy-mistral-5b 
Model Size5b
Required VRAM10 GB
Updated2024-12-23
Maintainerhuseinzol05
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.8 GB: 2-of-3   0.3 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.0.dev0
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than huseinzol05/dummy-mistral-5b.

Rank the Dummy Mistral 5B 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 v20241124
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