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RAISED Mistral Nemo SFT by FinaPolat

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RAISED Mistral Nemo SFT is an open-source language model by FinaPolat. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.24.

  4bit   Conversational   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/FinaPolat/RAISED_Mistral-Nemo_SFT 

RAISED Mistral Nemo SFT Benchmarks

LLME Score: 0.24274
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
RAISED Mistral Nemo SFT (FinaPolat/RAISED_Mistral-Nemo_SFT)
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RAISED Mistral Nemo SFT Parameters and Internals

LLM NameRAISED Mistral Nemo SFT
Repository 🤗https://huggingface.co/FinaPolat/RAISED_Mistral-Nemo_SFT 
Base Model(s)  unsloth/mistral-nemo-instruct-2407-bnb-4bit   unsloth/mistral-nemo-instruct-2407-bnb-4bit
Model Size12.2b
Required VRAM24.5 GB
Updated2026-05-27
MaintainerFinaPolat
Model Typemistral
Instruction-BasedYes
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Rank the RAISED Mistral Nemo SFT 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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