What are the hardware requirements for Llama 3.2 1B Instruct MLXTuned?

Llama 3.2 1B Instruct MLXTuned requires approximately 2.5 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 Llama 3.2 1B Instruct MLXTuned and how large is it?

Llama 3.2 1B Instruct MLXTuned is developed by mlx-community, a model with 1b 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 Llama 3.2 1B Instruct MLXTuned?

Llama 3.2 1B Instruct MLXTuned is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Llama 3.2 1B Instruct MLXTuned by mlx-community — VRAM 2.5GB, 128K context

Name: Llama 3.2 1B Instruct MLXTuned
Author: mlx-community

Llama 3.2 1B Instruct MLXTuned is an open-source language model by mlx-community. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Instruction-Based, LLM Explorer Score: 0.16.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... Conversational De En Endpoints compatible Es Facebook Fr Hi Instruct It Llama Llama-3 Meta Mlx Pt Pytorch Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-MLXTuned

Llama 3.2 1B Instruct MLXTuned Parameters and Internals

LLM Name	Llama 3.2 1B Instruct MLXTuned
Repository 🤗	https://huggingface.co/mlx-community/Llama-3.2-1B-Instruct-MLXTuned
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	2.5 GB
Updated	2026-07-06
Maintainer	mlx-community
Model Type	llama
Instruction-Based	Yes
Model Files	2.5 GB
Supported Languages	en de fr it pt hi es th
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.45.0.dev0
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Llama 3.2 1B Instruct MLXTuned 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 Llama 3.2 1B Instruct MLXTuned

Best Alternatives	Context / RAM	Downloads	Likes
Llama 3.2 1B Instruct	128K / 2.5 GB	212072	100
...1B Claude Opus Fable5 Thinking	128K / 2.2 GB	6165	166
Llama 3.2 1B Instruct	128K / 2.5 GB	10114634	1549
LlaMa3.2 1B Instruct	128K / 4.9 GB	14	0
Llama 3.2 1B Instruct Bf16	128K / 2.5 GB	510	5
Llama 3.2 1B Instruct	128K / 2.5 GB	20	0
Llama3.2 1B Manumit V1	128K / 2.5 GB	132	0
...Claude Opus Fable5 V2 Thinking	128K / 2.2 GB	288	4
Llama 3.2 Mavrick.Spark 1B	128K / 2.5 GB	260	2
Type O1 Mini Instruct	128K / 2.5 GB	232	0

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3.2-1B-Instruct-MLXTuned.