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TinyMistral 248M V2 by Locutusque

 »  All LLMs  »  Locutusque  »  TinyMistral 248M V2   URL Share it on

  1405   
  Autotrain compatible   Dataset:locutusque/tm-data   Dataset:skylion007/openwebtext   En   Endpoints compatible   Mistral   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Locutusque/TinyMistral-248M-v2 

TinyMistral 248M V2 Benchmarks

ARC: 21.25 vs 96.7 (so35)-78%
HellaSwag: 26.56 vs 95.3 (gpt4)-72.1%
MMLU: 23.39 vs 88.3 (so35)-73.5%
TruthfulQA: 49.6 vs 59 (gpt4)-15.9%
WinoGrande: 51.85 vs 87.5 (gpt4)-40.7%
LLME Score: 0.23535
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
TinyMistral 248M V2 (Locutusque/TinyMistral-248M-v2)

TinyMistral 248M V2 Parameters and Internals

Model Type 
text-generation
Supported Languages 
en (full)
Training Details 
Data Sources:
Skylion007/openwebtext, Locutusque/TM-DATA
Training Time:
500 GPU hours
Hardware Used:
single Titan V
LLM NameTinyMistral 248M V2
Repository 🤗https://huggingface.co/Locutusque/TinyMistral-248M-v2 
Model Size248m
Required VRAM1 GB
Updated2024-12-22
MaintainerLocutusque
Model Typemistral
Model Files  1.0 GB   1.0 GB
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32005
Torch Data Typefloat32

Best Alternatives to TinyMistral 248M V2

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Context / RAM
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TinyMistral 248M V2.532K / 1 GB58627
TinyMistral 248M V2.5 Instruct32K / 1 GB2711
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TinyMistral V2 Test132K / 1 GB181
TinyMistral 248M 8bits32K / 0.3 GB181
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TinyMistral 248M Instruct32K / 1 GB2811
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...istral 248M V2.5 Instruct Orpo32K / 0.5 GB190
TinyMistral 248M V332K / 0.5 GB2435
Note: green Score (e.g. "73.2") means that the model is better than Locutusque/TinyMistral-248M-v2.

Rank the TinyMistral 248M V2 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 v20241217
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