Openbuddy Mistral 7B V13 Base AWQ by TheBloke

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Openbuddy Mistral 7B V13 Base AWQ Benchmarks

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 Base AWQ Parameters and Internals

Model Type
mistral, text-generation
Additional NotesThis model is part of the Base-series models, trained utilizing approximately 50% of conversational data. It embodies cognitive and dialogue capabilities parallel to the fully-trained OpenBuddy models, yet it hasn’t been extensively fine-tuned for generic conversational tasks.
Supported Languages
languages_supported_regionalized_proficiency_level (/- zh/- en/- fr/- de/- ja/- ko/- it/- ru)
Training Details
Methodology:50% of conversational data
LLM NameOpenbuddy Mistral 7B V13 Base AWQ
Repository 🤗https://huggingface.co/TheBloke/openbuddy-mistral-7B-v13-base-AWQ 
Model NameOpenBuddy Mistral 7B v13 Base
Model CreatorOpenBuddy
Base Model(s)  Openbuddy Mistral 7B V13 Base   OpenBuddy/openbuddy-mistral-7b-v13-base
Model Size7b
Required VRAM4.2 GB
Updated2024-11-09
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languageszh en fr de ja ko it ru
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size36608
Torch Data Typefloat16
Openbuddy Mistral 7B V13 Base AWQ (TheBloke/openbuddy-mistral-7B-v13-base-AWQ)

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Rank the Openbuddy Mistral 7B V13 Base AWQ 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110