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Mistral Pretraining by bidit

 »  All LLMs  »  bidit  »  Mistral Pretraining   URL Share it on

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Mistral Pretraining is an open-source language model by bidit. Features: 84.5m LLM, VRAM: 0.3GB, Context: 0.5K, LLM Explorer Score: 0.15.

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

Mistral Pretraining Benchmarks

LLME Score: 0.14827
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Pretraining (bidit/mistral-pretraining)
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Mistral Pretraining Parameters and Internals

LLM NameMistral Pretraining
Repository 🤗https://huggingface.co/bidit/mistral-pretraining 
Model Size84.5m
Required VRAM0.3 GB
Updated2025-09-14
Maintainerbidit
Model Typemistral
Model Files  0.3 GB   0.0 GB
Model ArchitectureMistralForCausalLM
Context Length512
Model Max Length512
Transformers Version4.44.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat32

Best Alternatives to Mistral Pretraining

Best Alternatives
Context / RAM
Downloads
Likes
Mistral Pretrained Test128K / 0.3 GB70
Mistral Pretraining0.5K / 0.3 GB110
Mistral Supervised0.5K / 0.3 GB70
Mistral Pretraining0.5K / 0.3 GB60
Lab 20.5K / 0.3 GB60
Mistral Pre Trained Model0.5K / 0.3 GB60
Mistral Pretraining0.5K / 0.3 GB60
Mistral Pretraining0.5K / 0.3 GB60
Mistral Pretraining0.5K / 0.3 GB60
Mistral Pretraining0.5K / 0.3 GB50
Note: green Score (e.g. "73.2") means that the model is better than bidit/mistral-pretraining.

Rank the Mistral Pretraining 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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