Mistral Nemo Gutades 12B by nbeerbower

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  Autotrain compatible Base model:finetune:nbeerbower... Base model:nbeerbower/mistral-...   Conversational Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Mistral Nemo Gutades 12B Benchmarks

nn.n% โ€” How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sponsored by Nebius

Mistral Nemo Gutades 12B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
ORPO finetuning
Training Time:
3 epochs
Hardware Used:
RTX 3090
LLM NameMistral Nemo Gutades 12B
Repository ๐Ÿค—https://huggingface.co/nbeerbower/mistral-nemo-gutades-12B 
Base Model(s)  Mistral Nemo Bophades 12B   nbeerbower/mistral-nemo-bophades-12B
Model Size12b
Required VRAM24.5โ€ฏGB
Updated2025-01-05
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 Version4.44.2
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-gutades-12B.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227