Mistral Nemo Gutenberg 12B V2 by nbeerbower

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  Autotrain compatible Base model:axolotl-ai-co/romul... Base model:finetune:axolotl-ai...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Gutenberg 12B V2 Benchmarks

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 V2 (nbeerbower/mistral-nemo-gutenberg-12B-v2)

Mistral Nemo Gutenberg 12B V2 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, Google Colab
Model Architecture:
Llama 3
LLM NameMistral Nemo Gutenberg 12B V2
Repository ๐Ÿค—https://huggingface.co/nbeerbower/mistral-nemo-gutenberg-12B-v2 
Base Model(s)  Romulus Mistral Nemo 12B Simpo   axolotl-ai-co/romulus-mistral-nemo-12b-simpo
Model Size12b
Required VRAM24.5 GB
Updated2025-01-14
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 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-v2.

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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