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Mistral Nemo Gutenberg 12B V3 by nbeerbower

 »  All LLMs  »  nbeerbower  »  Mistral Nemo Gutenberg 12B V3   URL Share it on

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  Autotrain compatible Base model:finetune:interviten... Base model:intervitens/mini-ma...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3 

Mistral Nemo Gutenberg 12B V3 Benchmarks

MMLU Pro: 29.38
GPQA: 8.61
MUSR: 15
BBH: 34.96
IFEval: 21.83 vs 88 (so35)-75.2%
MATH Lvl 5: 5.97
LLME Score: 0.26227
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 V3 (nbeerbower/mistral-nemo-gutenberg-12B-v3)

Mistral Nemo Gutenberg 12B V3 Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
Finetuned using an A100 on Google Colab for 3 epochs.
Hardware Used:
A100 on Google Colab
LLM NameMistral Nemo Gutenberg 12B V3
Repository 🤗https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v3 
Base Model(s)  intervitens/mini-magnum-12b-v1.1   intervitens/mini-magnum-12b-v1.1
Model Size12b
Required VRAM24.5 GB
Updated2025-03-13
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 Size131073
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-v3.

Rank the Mistral Nemo Gutenberg 12B V3 Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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