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Marathi Mistral V0.2 by Echelon-AI

 »  All LLMs  »  Echelon-AI  »  Marathi Mistral V0.2   URL Share it on

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  4bit   Autotrain compatible Dataset:smallstepai/marathi-in...   Dataset:wikimedia/wikipedia   Endpoints compatible   Instruct   Mistral   Mr   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Echelon-AI/marathi-mistral-v0.2 

Marathi Mistral V0.2 Benchmarks

LLME Score: 0.17689
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Marathi Mistral V0.2 Parameters and Internals

Model Type 
language model
Use Cases 
Primary Use Cases:
Academic Research Assistance, Educational Content Creation, Conversational AI and Customer Support
Additional Notes 
The model is designed to excel in understanding and generating Marathi text, suitable for both educational and conversational applications.
Supported Languages 
mr (fluent)
Training Details 
Data Sources:
wikimedia/wikipedia, smallstepai/marathi-instruction-tuning-alpaca
LLM NameMarathi Mistral V0.2
Repository 🤗https://huggingface.co/Echelon-AI/marathi-mistral-v0.2 
Model Size7b
Required VRAM14.5 GB
Updated2025-06-09
MaintainerEchelon-AI
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   4.5 GB: 3-of-3
Supported Languagesmr
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Padding Token[control_768]
Vocabulary Size32768
Torch Data Typefloat16
Marathi Mistral V0.2 (Echelon-AI/marathi-mistral-v0.2)

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Note: green Score (e.g. "73.2") means that the model is better than Echelon-AI/marathi-mistral-v0.2.

Rank the Marathi Mistral V0.2 Capabilities

🆘 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! 🌟

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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Release v20241124
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