What are the hardware requirements for Mistral Nemo Teambrain Merged?

Mistral Nemo Teambrain Merged requires approximately 24.5 GB of VRAM and supports a context window of 128K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Nemo Teambrain Merged and how large is it?

Mistral Nemo Teambrain Merged is developed by slman4, 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 Mistral Nemo Teambrain Merged?

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

Mistral Nemo Teambrain Merged by slman4 — VRAM 24.5GB, 128K context

Name: Mistral Nemo Teambrain Merged
Author: slman4

Mistral Nemo Teambrain Merged is an open-source language model by slman4. Features: 12.2b LLM, VRAM: 24.5GB, Context: 128K, LLM Explorer Score: 0.23.

Arxiv:1910.09700 Conversational Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/slman4/mistral-nemo-teambrain-merged

Mistral Nemo Teambrain Merged Parameters and Internals

LLM Name	Mistral Nemo Teambrain Merged
Repository 🤗	https://huggingface.co/slman4/mistral-nemo-teambrain-merged
Model Size	12.2b
Required VRAM	24.5 GB
Updated	2026-08-01
Maintainer	slman4
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
Context Length	131072
Model Max Length	131072
Transformers Version	5.8.1
Tokenizer Class	TokenizersBackend
Vocabulary Size	131072

Rank the Mistral Nemo Teambrain Merged 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 Mistral Nemo Teambrain Merged

Best Alternatives	Context / RAM	Downloads	Likes
...aptain Eris Violet GRPO V0.420	1000K / 24.5 GB	23	24
...istral Nemo Instruct 2407 MPOA	1000K / 24.5 GB	37	3
...ish Mistral Nemo Instruct 2407	1000K / 24.5 GB	77	2
Mistral Nemo Kurdish	1000K / 24.5 GB	37	3
Violet Twilight V0.2	1000K / 24.5 GB	66	49
Tess Embed Fix Maybe	1000K / 24.5 GB	13	0
Funny Nemo Embedding Testing	1000K / 24.5 GB	5	1
12BTRU	1000K / 24.5 GB	21	0
Another Strange Nemo Model	1000K / 24.5 GB	6	0
A Strange Nemo Model	1000K / 24.5 GB	5	0

Note: green Score (e.g. "73.2") means that the model is better than slman4/mistral-nemo-teambrain-merged.