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Multilingual Mistral by gagan3012

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Multilingual Mistral is an open-source language model by gagan3012. Features: 7b LLM, VRAM: 93.5GB, Context: 32K, License: apache-2.0, Instruction-Based, HF Score: 62.8, LLM Explorer Score: 0.14, Arc: 62.3, HellaSwag: 81.8, MMLU: 61.4, TruthfulQA: 55.5, WinoGrande: 75.5, GSM8K: 40.3.

  Azale-ai/starstreak-7b-beta   Conversational   Davidkim205/komt-mistral-7b-v1   Endpoints compatible   Gagan3012/mistral arabic dpo   Giux78/zefiro-7b-beta-ita-v0.1   Instruct   Manishiitg/open-aditi-hi-v1   Mixtral   Model-index   Moe Openbuddy/openbuddy-zephyr-7b-...   Openchat/openchat-3.5-0106   Region:us   Safetensors   Sharded   Tensorflow Vagosolutions/sauerkrautlm-7b-...
Model Card on HF 🤗: https://huggingface.co/gagan3012/Multilingual-mistral 

Multilingual Mistral Benchmarks

ARC: 62.29 vs 96.7 (so35)-35.6%
HellaSwag: 81.76 vs 95.3 (gpt4)-14.2%
MMLU: 61.38 vs 88.3 (so35)-30.5%
TruthfulQA: 55.53 vs 59 (gpt4)-5.9%
WinoGrande: 75.53 vs 87.5 (gpt4)-13.7%
GSM8K: 40.26 vs 96.4 (so35)-58.2%
LLME Score: 0.14112
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Multilingual Mistral (gagan3012/Multilingual-mistral)
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Multilingual Mistral Parameters and Internals

Model Type 
text-generation
LLM NameMultilingual Mistral
Repository 🤗https://huggingface.co/gagan3012/Multilingual-mistral 
Model Size7b
Required VRAM93.5 GB
Updated2026-03-29
Maintainergagan3012
Model Typemixtral
Instruction-BasedYes
Model Files  9.9 GB: 1-of-10   10.0 GB: 2-of-10   10.0 GB: 3-of-10   10.0 GB: 4-of-10   10.0 GB: 5-of-10   10.0 GB: 6-of-10   10.0 GB: 7-of-10   10.0 GB: 8-of-10   10.0 GB: 9-of-10   3.6 GB: 10-of-10
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
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 gagan3012/Multilingual-mistral.

Rank the Multilingual Mistral 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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