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Platyboros Instruct 7B by lodrick-the-lafted

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  Autotrain compatible   Conversational Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-3....   Endpoints compatible   Instruct   Mistral   Model-index   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B 

Platyboros Instruct 7B Benchmarks

ARC: 57.76 vs 96.7 (so35)-40.3%
HellaSwag: 82.59 vs 95.3 (gpt4)-13.3%
MMLU: 62.05 vs 88.3 (so35)-29.7%
TruthfulQA: 60.92 vs 59 (gpt4)3.3%
WinoGrande: 78.14 vs 87.5 (gpt4)-10.7%
GSM8K: 43.67 vs 96.4 (so35)-54.7%
LLME Score: 0.15475
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Platyboros Instruct 7B (lodrick-the-lafted/Platyboros-Instruct-7B)
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Platyboros Instruct 7B Parameters and Internals

Model Type 
text-generation
Additional Notes 
The tokenizer default is set to Alpaca this time.
Training Details 
Data Sources:
garage-bAInd/Open-Platypus, jondurbin/airoboros-3.2
Methodology:
trained in Alpaca format
Input Output 
Input Format:
Both the default Mistral-Instruct tags and Alpaca formats are supported.
LLM NamePlatyboros Instruct 7B
Repository 🤗https://huggingface.co/lodrick-the-lafted/Platyboros-Instruct-7B 
Model Size7b
Required VRAM14.4 GB
Updated2025-09-23
Maintainerlodrick-the-lafted
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than lodrick-the-lafted/Platyboros-Instruct-7B.

Rank the Platyboros Instruct 7B 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 v20241124
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