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

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 (rdk31/Mixtral-8x7B-Instruct-v0.1-polish)

Mixtral 8x7B Instruct V0.1 Polish Parameters and Internals

Model Type 
generative, Sparse Mixture of Experts
Use Cases 
Limitations:
The model does not have any moderation mechanisms.
Considerations:
We're looking forward to engaging with the community on ways to make the model finely respect guardrails, allowing for deployment in environments requiring moderated outputs.
Additional Notes 
This is a quick demonstration to show that the base model can be fine-tuned to achieve compelling performance.
Input Output 
Input Format:
Special tokens are used for instruction formatting.
Performance Tips:
Format must be strictly respected for optimal outputs.
LLM NameMixtral 8x7B Instruct V0.1 Polish
Repository ๐Ÿค—https://huggingface.co/rdk31/Mixtral-8x7B-Instruct-v0.1-polish 
Required VRAM93.6 GB
Updated2024-12-21
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

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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

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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 v20241217