Lyra Gutenberg Mistral Nemo 12B by nbeerbower

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Lyra Gutenberg Mistral Nemo 12B is an open-source language model by nbeerbower. Features: 12b LLM, VRAM: 24.5GB, Context: 1000K, License: cc-by-nc-4.0, LLM Explorer Score: 0.21.

Base model:finetune:sao10k/mn-... Base model:sao10k/mn-12b-lyra-... Dataset:jondurbin/gutenberg-dp...   Endpoints compatible   Mistral   Model-index   Region:us   Safetensors   Sharded   Tensorflow

Lyra Gutenberg Mistral Nemo 12B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Lyra Gutenberg Mistral Nemo 12B Parameters and Internals

Training Details 
Data Sources:
jondurbin/gutenberg-dpo-v0.1
Methodology:
Finetuned using an A100 on Google Colab for 3 epochs. [Fine-tune Llama 3 with ORPO](https://mlabonne.github.io/blog/posts/2024-04-19_Fine_tune_Llama_3_with_ORPO.html)
Hardware Used:
A100 on Google Colab
LLM NameLyra Gutenberg Mistral Nemo 12B
Repository 🤗https://huggingface.co/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B 
Base Model(s)  MN 12B Lyra V1   Sao10K/MN-12B-Lyra-v1
Model Size12b
Required VRAM24.5 GB
Updated2026-05-26
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
Licensecc-by-nc-4.0
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/Lyra-Gutenberg-mistral-nemo-12B.

Rank the Lyra Gutenberg Mistral Nemo 12B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a