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Openbuddy Mixtral 7bx8 V18.1 32K Gptq by OpenBuddy

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Model Card on HF 🤗: https://huggingface.co/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k-gptq 

Openbuddy Mixtral 7bx8 V18.1 32K Gptq Benchmarks

LLME Score: 0.16578
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Openbuddy Mixtral 7bx8 V18.1 32K Gptq (OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k-gptq)

Openbuddy Mixtral 7bx8 V18.1 32K Gptq Parameters and Internals

Model Type 
text generation
Additional Notes 
OpenBuddy models are provided "as-is" without any warranty.
Supported Languages 
zh (full proficiency), en (full proficiency), fr (full proficiency), de (full proficiency), ja (full proficiency), ko (full proficiency), it (full proficiency), ru (full proficiency)
LLM NameOpenbuddy Mixtral 7bx8 V18.1 32K Gptq
Repository 🤗https://huggingface.co/OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k-gptq 
Required VRAM24.8 GB
Updated2025-02-22
MaintainerOpenBuddy
Model Typemixtral
Model Files  24.8 GB
Supported Languageszh en fr de ja ko it ru
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size36608
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than OpenBuddy/openbuddy-mixtral-7bx8-v18.1-32k-gptq.

Rank the Openbuddy Mixtral 7bx8 V18.1 32K Gptq 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 v20241227
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