What are the hardware requirements for Mistralai Mistral Nemo Base 2407?

Mistralai Mistral Nemo Base 2407 requires approximately 24.5 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistralai Mistral Nemo Base 2407 and how large is it?

Mistralai Mistral Nemo Base 2407 is developed by SillyTilly, a model with 12.2b 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 Mistralai Mistral Nemo Base 2407?

Mistralai Mistral Nemo Base 2407 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistralai Mistral Nemo Base 2407 by SillyTilly — VRAM 24.5GB

Name: Mistralai Mistral Nemo Base 2407
Author: SillyTilly

Mistralai Mistral Nemo Base 2407 is an open-source language model by SillyTilly. Features: 12.2b LLM, VRAM: 24.5GB, License: apache-2.0, LLM Explorer Score: 0.13.

De En Endpoints compatible Es Fr It Ja Mistral Pt Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Base-2407

Mistralai Mistral Nemo Base 2407 Parameters and Internals

Model Type

generative, transformer

Additional Notes

Mistral-Nemo-Base-2407 is a pretrained base model without moderation mechanisms.

Supported Languages

en (Proficient), fr (Proficient), de (Proficient), es (Proficient), it (Proficient), pt (Proficient), ru (Proficient), zh (Proficient), ja (Proficient)

Training Details

Methodology:

Pre-trained generative text model using a 128k context window and trained on a large proportion of multilingual and code data.

Context Length:

128000

Model Architecture:

Transformer model with 40 layers, dimension 5,120, head dimension 128, hidden dimension 14,436, SwiGLU activation function, 32 heads, 8 kv-heads, vocabulary size 128k with rotary embeddings (theta = 1M).

LLM Name	Mistralai Mistral Nemo Base 2407
Repository 🤗	https://huggingface.co/SillyTilly/mistralai_Mistral-Nemo-Base-2407
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-07-07
Maintainer	SillyTilly
Model Files	24.5 GB 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
Supported Languages	en fr de es it pt ru zh ja
Model Architecture	AutoModelForCausalLM
License	apache-2.0
Tokenizer Class	GPT2Tokenizer
Vocabulary Size	131072

Rank the Mistralai Mistral Nemo Base 2407 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

Best Alternatives to Mistralai Mistral Nemo Base 2407

Best Alternatives	Context / RAM	Downloads	Likes
...lai Mistral Nemo Instruct 2407	0K / 24.5 GB	99682	1
Nemo Sunfall V0.6.1	0K / 24.5 GB	14	7
...stralai Mistral Nemo Base 2407	0K / 24.5 GB	11	0
Mistral Nemo Base 2407 Chatml	0K / 24.5 GB	43	7
Mistral Nemo Base 2407 Chatml	0K / 24.5 GB	13	3

Note: green Score (e.g. "73.2") means that the model is better than SillyTilly/mistralai_Mistral-Nemo-Base-2407.