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Tess 3 Mistral Nemo 12B by migtissera

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  Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/migtissera/Tess-3-Mistral-Nemo-12B 

Tess 3 Mistral Nemo 12B Benchmarks

MMLU Pro: 17.39
GPQA: 0.11
MUSR: 15.49
BBH: 28.04
IFEval: 33.55 vs 88 (so35)-61.9%
MATH Lvl 5: 4.68
LLME Score: 0.32479
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Tess 3 Mistral Nemo 12B (migtissera/Tess-3-Mistral-Nemo-12B)

Tess 3 Mistral Nemo 12B Parameters and Internals

Model Type 
text generation
Additional Notes 
The compute for this model was sponsored by KindoAI.
Input Output 
Input Format:
encoded tokens with instructions
Accepted Modalities:
text
Output Format:
decoded text string
LLM NameTess 3 Mistral Nemo 12B
Repository 🤗https://huggingface.co/migtissera/Tess-3-Mistral-Nemo-12B 
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
Maintainermigtissera
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   0.0 GB
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length1024000
Model Max Length1024000
Transformers Version4.44.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size131075
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/Tess-3-Mistral-Nemo-12B.

Rank the Tess 3 Mistral Nemo 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 v20241217
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