What are the hardware requirements for Lyra Gutenberg Mistral Nemo 12B?

Lyra Gutenberg Mistral Nemo 12B requires approximately 24.5 GB of VRAM and supports a context window of 1000K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Lyra Gutenberg Mistral Nemo 12B and how large is it?

Lyra Gutenberg Mistral Nemo 12B is developed by nbeerbower, a model with 12b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Lyra Gutenberg Mistral Nemo 12B?

Lyra Gutenberg Mistral Nemo 12B is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Lyra Gutenberg Mistral Nemo 12B by nbeerbower — VRAM 24.5GB, 1000K context

Name: Lyra Gutenberg Mistral Nemo 12B
Author: nbeerbower

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

Model Card on HF 🤗: https://huggingface.co/nbeerbower/Lyra-Gutenberg-mistral-nemo-12B

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 Name	Lyra 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 Size	12b
Required VRAM	24.5 GB
Updated	2026-07-21
Maintainer	nbeerbower
Model Type	mistral
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 Architecture	MistralForCausalLM
License	cc-by-nc-4.0
Context Length	1024000
Model Max Length	1024000
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Lyra Gutenberg Mistral Nemo 12B capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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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Note: green Score (e.g. "73.2") means that the model is better than nbeerbower/Lyra-Gutenberg-mistral-nemo-12B.