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Openbuddy Mistral 7B V13.1 by OpenBuddy

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Openbuddy Mistral 7B V13.1 Benchmarks

ARC: 52.56 vs 96.7 (so35)-45.6%
HellaSwag: 75.73 vs 95.3 (gpt4)-20.5%
MMLU: 56.68 vs 88.3 (so35)-35.8%
TruthfulQA: 50.44 vs 59 (gpt4)-14.5%
WinoGrande: 71.59 vs 87.5 (gpt4)-18.2%
GSM8K: 8.72 vs 96.4 (so35)-91%
LLME Score: 0.20538
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Openbuddy Mistral 7B V13.1 Parameters and Internals

LLM NameOpenbuddy Mistral 7B V13.1
Repository 🤗https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1 
Model Size7b
Required VRAM14.6 GB
Updated2024-09-07
MaintainerOpenBuddy
Model Typemistral
Model Files  10.0 GB: 1-of-2   4.6 GB: 2-of-2
Supported Languageszh en fr de ja ko it ru
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size36608
Torch Data Typebfloat16
Openbuddy Mistral 7B V13.1 (OpenBuddy/openbuddy-mistral-7b-v13.1)

Quantized Models of the Openbuddy Mistral 7B V13.1

Model
Likes
Downloads
VRAM
...penbuddy Mistral 7B V13.1 GGUF42053 GB
...penbuddy Mistral 7B V13.1 GPTQ2134 GB
Openbuddy Mistral 7B V13.1 AWQ1134 GB

Best Alternatives to Openbuddy Mistral 7B V13.1

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LuminRP 7B 128K V0.2128K / 14.4 GB140
Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-mistral-7b-v13.1.

Rank the Openbuddy Mistral 7B V13.1 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 v2024072803
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