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Mistral Nemo Instruct 2407 Sft Ver 4.4 by spow12

 »  All LLMs  »  spow12  »  Mistral Nemo Instruct 2407 Sft Ver 4.4   URL Share it on

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  Merged Model   Arxiv:1910.09700   Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/spow12/Mistral-Nemo-Instruct-2407_sft_ver_4.4 

Mistral Nemo Instruct 2407 Sft Ver 4.4 Benchmarks

LLME Score: 0.21397
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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Mistral Nemo Instruct 2407 Sft Ver 4.4 Parameters and Internals

LLM NameMistral Nemo Instruct 2407 Sft Ver 4.4
Repository 🤗https://huggingface.co/spow12/Mistral-Nemo-Instruct-2407_sft_ver_4.4 
Merged ModelYes
Model Size12.2b
Required VRAM24.5 GB
Updated2025-06-11
Maintainerspow12
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
Model ArchitectureMistralForCausalLM
Context Length1024000
Model Max Length1024000
Transformers Version4.43.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16
Mistral Nemo Instruct 2407 Sft Ver 4.4 (spow12/Mistral-Nemo-Instruct-2407_sft_ver_4.4)

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Note: green Score (e.g. "73.2") means that the model is better than spow12/Mistral-Nemo-Instruct-2407_sft_ver_4.4.

Rank the Mistral Nemo Instruct 2407 Sft Ver 4.4 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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Release v20241124
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