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Mistral Nemo Gutenberg 12B by nbeerbower

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

Mistral Nemo Gutenberg 12B Benchmarks

MMLU Pro: 28.47
GPQA: 7.61
MUSR: 10.97
BBH: 32.43
IFEval: 35.04 vs 88 (so35)-60.2%
MATH Lvl 5: 11.63
LLME Score: 0.27217
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Nemo Gutenberg 12B (nbeerbower/mistral-nemo-gutenberg-12B)

Mistral Nemo Gutenberg 12B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
Finetuned using an A100 on Google Colab for 1 epoch.
Hardware Used:
A100
LLM NameMistral Nemo Gutenberg 12B
Repository 🤗https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B 
Base Model(s)  Mistral Nemo Instruct 2407   mistralai/Mistral-Nemo-Instruct-2407
Model Size12b
Required VRAM24.5 GB
Updated2025-02-22
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-gutenberg-12B.

Rank the Mistral Nemo Gutenberg 12B Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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