Dummy Mistral 3B by huseinzol05

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Dummy Mistral 3B is an open-source language model by huseinzol05. Features: 3b LLM, VRAM: 18.2GB, Context: 32K, LLM Explorer Score: 0.11.

  Autotrain compatible   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Dummy Mistral 3B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dummy Mistral 3B (huseinzol05/dummy-mistral-3b)
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Dummy Mistral 3B 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 3B
Repository ๐Ÿค—https://huggingface.co/huseinzol05/dummy-mistral-3b 
Model Size3b
Required VRAM18.2 GB
Updated2024-12-23
Maintainerhuseinzol05
Model Typemistral
Model Files  5.0 GB: 1-of-2   5.0 GB: 1-of-3   1.1 GB: 2-of-2   5.0 GB: 2-of-3   2.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.35.0
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Dummy Mistral 3B

Best Alternatives
Context / RAM
Downloads
Likes
Ministral 3B Instruct128K / 6.7 GB477782
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Mallam 3B 409632K / 6.1 GB462
Minerva 3B Ties 1.016K / 5.8 GB12380
...inerva 3B Llama3 Instruct V0.116K / 5.8 GB12520
Asinello Minerva 3B V0.116K / 5.8 GB12230
Minerva 3B Instruct V1.016K / 5.8 GB2367
Minerva 3B Base RAG16K / 5.8 GB913
Minerva 3B Instruct V1.016K / 5.8 GB127
Note: green Score (e.g. "73.2") means that the model is better than huseinzol05/dummy-mistral-3b.

Rank the Dummy Mistral 3B Capabilities

๐Ÿ†˜ 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! ๐ŸŒŸ

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 v20260328a