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Mistral Pretrained Test by damienbenveniste

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Mistral Pretrained Test is an open-source language model by damienbenveniste. Features: 84.5m LLM, VRAM: 0.3GB, Context: 128K, LLM Explorer Score: 0.2.

  Autotrain compatible   Endpoints compatible   Generated from trainer   Mistral   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/damienbenveniste/mistral-pretrained_test 

Mistral Pretrained Test Benchmarks

LLME Score: 0.20045
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Pretrained Test (damienbenveniste/mistral-pretrained_test)
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Mistral Pretrained Test Parameters and Internals

LLM NameMistral Pretrained Test
Repository 🤗https://huggingface.co/damienbenveniste/mistral-pretrained_test 
Model Size84.5m
Required VRAM0.3 GB
Updated2025-09-23
Maintainerdamienbenveniste
Model Typemistral
Model Files  0.3 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.53.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

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Mistral Pre Trained Model0.5K / 0.3 GB60
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Note: green Score (e.g. "73.2") means that the model is better than damienbenveniste/mistral-pretrained_test.

Rank the Mistral Pretrained Test 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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Release v20260328a
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