What are the hardware requirements for Mlx Llama 3.2 1B Q8?

Mlx Llama 3.2 1B Q8 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 Mlx Llama 3.2 1B Q8 and how large is it?

Mlx Llama 3.2 1B Q8 is developed by jbeiroa, 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 Mlx Llama 3.2 1B Q8?

Mlx Llama 3.2 1B Q8 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mlx Llama 3.2 1B Q8 by jbeiroa — VRAM 2.5GB, 128K context

Name: Mlx Llama 3.2 1B Q8
Author: jbeiroa

Mlx Llama 3.2 1B Q8 is an open-source language model by jbeiroa. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: llama3.2, Quantized, LLM Explorer Score: 0.16.

Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3.... De En Endpoints compatible Es Facebook Fr Hi It Llama Llama-3 Meta Mlx Pt Pytorch Q8 Quantized Region:us Safetensors Th

Model Card on HF 🤗: https://huggingface.co/jbeiroa/mlx_llama-3.2-1b-q8

Mlx Llama 3.2 1B Q8 Parameters and Internals

LLM Name	Mlx Llama 3.2 1B Q8
Repository 🤗	https://huggingface.co/jbeiroa/mlx_llama-3.2-1b-q8
Base Model(s)	meta-llama/Llama-3.2-1B meta-llama/Llama-3.2-1B
Model Size	1b
Required VRAM	2.5 GB
Updated	2025-03-12
Maintainer	jbeiroa
Model Type	llama
Model Files	2.5 GB
Supported Languages	en de fr it pt hi es th
Quantization Type	q8
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 Mlx Llama 3.2 1B Q8 capabilities

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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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...1B Agentic Tooluse Merged FP16	128K / 2.2 GB	2361	6
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MiniCPM5 1B 8bit	128K / 1.1 GB	1983	3
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...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
Humanizer 1B OptiQ 4bit	128K / 0.9 GB	235	5
HRA Non Instruct Merged	128K / 2.5 GB	78	0
MiniCPM5 1B 4bit	128K / 0.6 GB	315	1

Note: green Score (e.g. "73.2") means that the model is better than jbeiroa/mlx_llama-3.2-1b-q8.