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Mistral Nemo Gutenberg2 12B Test by nbeerbower

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:nbeerbower/gutenberg2-...   Endpoints compatible   Instruct   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/mistral-nemo-gutenberg2-12B-test 

Mistral Nemo Gutenberg2 12B Test Benchmarks

MMLU Pro: 28.39
GPQA: 8.95
MUSR: 10.97
BBH: 32.04
IFEval: 33.85 vs 88 (so35)-61.5%
MATH Lvl 5: 11.33
LLME Score: 0.29259
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Gutenberg2 12B Test (nbeerbower/mistral-nemo-gutenberg2-12B-test)

Mistral Nemo Gutenberg2 12B Test Parameters and Internals

LLM NameMistral Nemo Gutenberg2 12B Test
Repository 🤗https://huggingface.co/nbeerbower/mistral-nemo-gutenberg2-12B-test 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2024-12-21
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 Version4.44.2
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-gutenberg2-12B-test.

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Release v20241217
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