What are the hardware requirements for Mistral Nemo 12B Instruct MLX 4bit?

Mistral Nemo 12B Instruct MLX 4bit requires approximately 6.9 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 12B Instruct MLX 4bit and how large is it?

Mistral Nemo 12B Instruct MLX 4bit is developed by ChetanT271, 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 Mistral Nemo 12B Instruct MLX 4bit?

Mistral Nemo 12B Instruct MLX 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Nemo 12B Instruct MLX 4bit by ChetanT271 — VRAM 6.9GB, 128K context

Name: Mistral Nemo 12B Instruct MLX 4bit
Author: ChetanT271

Mistral Nemo 12B Instruct MLX 4bit is an open-source language model by ChetanT271. Features: 12b LLM, VRAM: 6.9GB, Context: 128K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.26.

4-bit 4bit Base model:mistralai/mistral-n... Base model:quantized:mistralai... Conversational De En Es Fr Instruct It Ja Mistral Mistral-common Mlx Pt Quantized Region:us Ru Safetensors Sharded Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/ChetanT271/Mistral-Nemo-12B-Instruct-MLX-4bit

Mistral Nemo 12B Instruct MLX 4bit Parameters and Internals

LLM Name	Mistral Nemo 12B Instruct MLX 4bit
Repository 🤗	https://huggingface.co/ChetanT271/Mistral-Nemo-12B-Instruct-MLX-4bit
Base Model(s)	Mistral Nemo Instruct 2407 mistralai/Mistral-Nemo-Instruct-2407
Model Size	12b
Required VRAM	6.9 GB
Updated	2026-10-16
Maintainer	ChetanT271
Model Type	mistral
Instruction-Based	Yes
Model Files	5.4 GB: 1-of-2 1.5 GB: 2-of-2
Supported Languages	en fr de es it pt ru zh ja
Quantization Type	4bit
Model Architecture	MistralForCausalLM
License	apache-2.0
Context Length	131072
Model Max Length	131072
Transformers Version	4.43.0.dev0
Tokenizer Class	TokenizersBackend
Vocabulary Size	131072
Torch Data Type	bfloat16

Rank the Mistral Nemo 12B Instruct MLX 4bit capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Multi-Language Support and Translation

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