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Mahou 1.5 Mistral Nemo 12B Lorablated by nbeerbower

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  Merged Model   Arxiv:2212.04089   Autotrain compatible Base model:flammenai/mahou-1.5... Base model:nbeerbower/mistral-...   Conversational   Endpoints compatible   Lora   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated 

Mahou 1.5 Mistral Nemo 12B Lorablated Benchmarks

MMLU Pro: 28.6
GPQA: 3.91
MUSR: 16.55
BBH: 36.08
IFEval: 68.25 vs 88 (so35)-22.4%
MATH Lvl 5: 8.91
LLME Score: 0.30283
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mahou 1.5 Mistral Nemo 12B Lorablated (nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated)

Mahou 1.5 Mistral Nemo 12B Lorablated Parameters and Internals

LLM NameMahou 1.5 Mistral Nemo 12B Lorablated
Repository 🤗https://huggingface.co/nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated 
Base Model(s)  flammenai/Mahou-1.5-mistral-nemo-12B   ...tral Nemo 12B Abliterated LORA   flammenai/Mahou-1.5-mistral-nemo-12B   nbeerbower/Mistral-Nemo-12B-abliterated-LORA
Merged ModelYes
Model Size12b
Required VRAM24.5 GB
Updated2025-02-22
Maintainernbeerbower
Model Typemistral
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
LoRA ModelYes
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Mahou-1.5-mistral-nemo-12B-lorablated.

Rank the Mahou 1.5 Mistral Nemo 12B Lorablated 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  
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Multi-Language Support and Translation  

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Release v20241227
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