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Mistral Nemo 12B ArliAI RPMax V1.1 by ArliAI

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  Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 

Mistral Nemo 12B ArliAI RPMax V1.1 Benchmarks

LLME Score: 0.2555
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo 12B ArliAI RPMax V1.1 (ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1)

Mistral Nemo 12B ArliAI RPMax V1.1 Parameters and Internals

Model Type 
text generation
Training Details 
Methodology:
1 epoch training for minimized repetition sickness with QLORA (64-rank 128-alpha, resulting in ~2% trainable weights)
Context Length:
8192
Training Time:
Approximately 2 days
Hardware Used:
2x3090Ti
Input Output 
Input Format:
Mistral Instruct Prompt Format
LLM NameMistral Nemo 12B ArliAI RPMax V1.1
Repository 🤗https://huggingface.co/ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1 
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
MaintainerArliAI
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
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<pad>
Vocabulary Size131072
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than ArliAI/Mistral-Nemo-12B-ArliAI-RPMax-v1.1.

Rank the Mistral Nemo 12B ArliAI RPMax V1.1 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 v20241217
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