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Openbuddy Mistral 22B V21.1 32K by OpenBuddy

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Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-mistral-22b-v21.1-32k 

Openbuddy Mistral 22B V21.1 32K Benchmarks

ARC: 60.67 vs 96.7 (so35)-37.3%
HellaSwag: 67.81 vs 95.3 (gpt4)-28.8%
MMLU: 64.77 vs 88.3 (so35)-26.6%
TruthfulQA: 55.31 vs 59 (gpt4)-6.3%
WinoGrande: 75.69 vs 87.5 (gpt4)-13.5%
GSM8K: 68.84 vs 96.4 (so35)-28.6%
LLME Score: 0.26032
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Mistral 22B V21.1 32K (OpenBuddy/openbuddy-mistral-22b-v21.1-32k)

Openbuddy Mistral 22B V21.1 32K Parameters and Internals

Model Type 
text-generation
Supported Languages 
zh (Chinese), en (English), fr (French), de (German), ja (Japanese), ko (Korean), it (Italian), ru (Russian), fi (Finnish)
LLM NameOpenbuddy Mistral 22B V21.1 32K
Repository 🤗https://huggingface.co/OpenBuddy/openbuddy-mistral-22b-v21.1-32k 
Model Size22b
Required VRAM44.9 GB
Updated2024-12-21
MaintainerOpenBuddy
Model Typemistral
Model Files  5.0 GB: 1-of-10   5.0 GB: 2-of-10   5.0 GB: 3-of-10   4.9 GB: 4-of-10   5.0 GB: 5-of-10   5.0 GB: 6-of-10   4.9 GB: 7-of-10   5.0 GB: 8-of-10   4.6 GB: 9-of-10   0.5 GB: 10-of-10
Supported Languageszh en fr de ja ko it ru fi
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.41.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<|pad0|>
Vocabulary Size41472
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-mistral-22b-v21.1-32k.

Rank the Openbuddy Mistral 22B V21.1 32K 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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Release v20241217
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