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Tiny Mistral by openaccess-ai-collective

 »  All LLMs  »  openaccess-ai-collective  »  Tiny Mistral   URL Share it on

  17568   
  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/openaccess-ai-collective/tiny-mistral 

Tiny Mistral Benchmarks

LLME Score: 0.18751
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tiny Mistral (openaccess-ai-collective/tiny-mistral)

Tiny Mistral Parameters and Internals

Model Type 
architecture, randomly initialized
Use Cases 
Primary Use Cases:
End-to-end testing
Training Details 
Methodology:
Randomly initialized
Model Architecture:
Mistral architecture
LLM NameTiny Mistral
Repository 🤗https://huggingface.co/openaccess-ai-collective/tiny-mistral 
Required VRAM0.4 GB
Updated2025-02-05
Maintaineropenaccess-ai-collective
Model Typemistral
Model Files  0.4 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than openaccess-ai-collective/tiny-mistral.

Rank the Tiny Mistral 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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