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Mixtral 8x7B Instruct V0.1 Polish by rdk31

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  Autotrain compatible   Conversational Dataset:s3nh/alpaca-dolly-inst...   Instruct   Mixtral   Moe   Pl   Pytorch   Region:us   Sharded

Mixtral 8x7B Instruct V0.1 Polish Benchmarks

LLME Score: 0.177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mixtral 8x7B Instruct V0.1 Polish Parameters and Internals

LLM NameMixtral 8x7B Instruct V0.1 Polish
Repository 🤗https://huggingface.co/rdk31/Mixtral-8x7B-Instruct-v0.1-polish 
Required VRAM93.6 GB
Updated2024-10-18
Maintainerrdk31
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagespl
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16
Mixtral 8x7B Instruct V0.1 Polish (rdk31/Mixtral-8x7B-Instruct-v0.1-polish)

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Note: green Score (e.g. "73.2") means that the model is better than rdk31/Mixtral-8x7B-Instruct-v0.1-polish.

Rank the Mixtral 8x7B Instruct V0.1 Polish 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  
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Release v2024072803
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