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Mistral 7B Openplatypus 1K by mncai

 »  All LLMs  »  mncai  »  Mistral 7B Openplatypus 1K   URL Share it on

  1205   
  Arxiv:2306.02707   Arxiv:2308.07317   32bit   Autotrain compatible Dataset:garage-baind/open-plat...   En   Endpoints compatible   Llama   Llama2   Mindsandcompany   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/mncai/Mistral-7B-openplatypus-1k 

Mistral 7B Openplatypus 1K Benchmarks

ARC: 60.15 vs 96.7 (so35)-37.8%
HellaSwag: 84.25 vs 95.3 (gpt4)-11.6%
MMLU: 59.84 vs 88.3 (so35)-32.2%
TruthfulQA: 49.86 vs 59 (gpt4)-15.5%
WinoGrande: 76.87 vs 87.5 (gpt4)-12.1%
GSM8K: 17.44 vs 96.4 (so35)-81.9%
LLME Score: 0.18483
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Openplatypus 1K (mncai/Mistral-7B-openplatypus-1k)

Mistral 7B Openplatypus 1K Parameters and Internals

Model Type 
text-generation
Additional Notes 
Testing is mainly conducted in English and the model may produce inaccurate or biased outcomes. Developers are advised to perform safety testing appropriate to their application.
Supported Languages 
en (advanced)
Training Details 
Data Sources:
Orca-style dataset, Alpaca-style dataset
Input Output 
Input Format:
Llama Prompt Template
LLM NameMistral 7B Openplatypus 1K
Repository 🤗https://huggingface.co/mncai/Mistral-7B-openplatypus-1k 
Model Size7b
Required VRAM29 GB
Updated2024-12-21
Maintainermncai
Model Typellama
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Supported Languagesen
Quantization Type32bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token[PAD]
Vocabulary Size32000
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than mncai/Mistral-7B-openplatypus-1k.

Rank the Mistral 7B Openplatypus 1K 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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