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Zinakha 12B by aixonlab

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  Merged Model   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational   Endpoints compatible   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/aixonlab/Zinakha-12b 

Zinakha 12B Benchmarks

LLME Score: 0.22146
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Zinakha 12B (aixonlab/Zinakha-12b)

Zinakha 12B Parameters and Internals

Model Type 
Causal Language Model
Use Cases 
Areas:
Advanced language model for various natural language processing tasks
Applications:
Text generation, Question-answering, Chat
Primary Use Cases:
Excels in chat
Limitations:
The model may exhibit biases present in its training data and constituent models.
Additional Notes 
Performance metrics and evaluation results for Zinakha-12b are yet to be determined. Users are encouraged to contribute their findings and benchmarks.
Supported Languages 
English (primarily, may support other languages)
Responsible Ai Considerations 
Fairness:
As a model based on multiple sources, Zinakha-12b may inherit biases and limitations from its constituent models.
Mitigation Strategies:
Users should be aware of potential biases in generated content and use the model responsibly.
LLM NameZinakha 12B
Repository 🤗https://huggingface.co/aixonlab/Zinakha-12b 
Base Model(s)  Mistral Nemo Base 2407   mistralai/Mistral-Nemo-Base-2407
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-02-22
Maintaineraixonlab
Model Typemistral
Model Files  4.9 GB: 1-of-5   4.9 GB: 2-of-5   4.9 GB: 3-of-5   4.9 GB: 4-of-5   4.9 GB: 5-of-5
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.45.2
Tokenizer ClassGPT2Tokenizer
Padding Token<pad>
Vocabulary Size131072
Torch Data Typefloat16

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Rank the Zinakha 12B 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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