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Mistral Nemo Gutenberg Doppel 12B by nbeerbower

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mistral-n...   Conversational Dataset:jondurbin/gutenberg-dp... Dataset:nbeerbower/gutenberg2-...   Endpoints compatible   Instruct   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B 

Mistral Nemo Gutenberg Doppel 12B Benchmarks

MMLU Pro: 28.65
GPQA: 8.84
MUSR: 11.49
BBH: 32.42
IFEval: 35.67 vs 88 (so35)-59.5%
MATH Lvl 5: 11.78
LLME Score: 0.29731
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 Doppel 12B (nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B)

Mistral Nemo Gutenberg Doppel 12B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1, nbeerbower/gutenberg2-dpo
Methodology:
ORPO
Hardware Used:
RTX 3090
LLM NameMistral Nemo Gutenberg Doppel 12B
Repository 🤗https://huggingface.co/nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B 
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-Gutenberg-Doppel-12B.

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Release v20241217
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