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Loyal Piano M7 Cdpo by chargoddard

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  Autotrain compatible Dataset:huggingfaceh4/ultrafee...   En   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Loyal Piano M7 Cdpo Benchmarks

ARC: 67.06-30.4%
HellaSwag: 85.42-10.4%
MMLU: 64.54-25.4%
TruthfulQA: 61.544.3%
WinoGrande: 79.08-9.6%
GSM8K: 56.33-38.8%
nn.n% — How the model compares to the GPT-4.

Loyal Piano M7 Cdpo Parameters and Internals

LLM NameLoyal Piano M7 Cdpo
RepositoryOpen on 🤗 
Model Size7.2b
Required VRAM14.4 GB
Updated2024-07-27
Maintainerchargoddard
Model Typemistral
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Loyal Piano M7 Cdpo (chargoddard/loyal-piano-m7-cdpo)

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Note: green Score (e.g. "73.2") means that the model is better than chargoddard/loyal-piano-m7-cdpo.

Rank the Loyal Piano M7 Cdpo Capabilities

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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 v2024072501
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