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Mistral Nemo Wissenschaft 12B by nbeerbower

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:tasksource/scienceqa t...   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/mistral-nemo-wissenschaft-12B 

Mistral Nemo Wissenschaft 12B Benchmarks

LLME Score: 0.27188
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Wissenschaft 12B (nbeerbower/mistral-nemo-wissenschaft-12B)

Mistral Nemo Wissenschaft 12B Parameters and Internals

Training Details 
Data Sources:
tasksource/ScienceQA_text_only
Methodology:
Correct answers were selected as the chosen answer, a random wrong answer was selected as 'rejected.'
Hardware Used:
A100 on Google Colab
LLM NameMistral Nemo Wissenschaft 12B
Repository 🤗https://huggingface.co/nbeerbower/mistral-nemo-wissenschaft-12B 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-12-14
Maintainernbeerbower
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
Vocabulary Size131072
Torch Data Typebfloat16

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

Rank the Mistral Nemo Wissenschaft 12B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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