What are the hardware requirements for Llama 3.2 1B Instruct XMADai 4bit?

Llama 3.2 1B Instruct XMADai 4bit requires approximately 1.5 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 XMADai 4bit and how large is it?

Llama 3.2 1B Instruct XMADai 4bit is developed by xmadai, 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 XMADai 4bit?

Llama 3.2 1B Instruct XMADai 4bit 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 XMADai 4bit by xmadai — VRAM 1.5GB, 128K context

Name: Llama 3.2 1B Instruct XMADai 4bit
Author: xmadai

Llama 3.2 1B Instruct XMADai 4bit is an open-source language model by xmadai. Features: 1b LLM, VRAM: 1.5GB, Context: 128K, License: llama3.2, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

4-bit 4bit Base model:meta-llama/llama-3.... Base model:quantized:meta-llam... Conversational Endpoints compatible Gptq Instruct Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/xmadai/Llama-3.2-1B-Instruct-xMADai-4bit

Llama 3.2 1B Instruct XMADai 4bit Parameters and Internals

LLM Name	Llama 3.2 1B Instruct XMADai 4bit
Repository 🤗	https://huggingface.co/xmadai/Llama-3.2-1B-Instruct-xMADai-4bit
Base Model(s)	meta-llama/Llama-3.2-1B-Instruct meta-llama/Llama-3.2-1B-Instruct
Model Size	1b
Required VRAM	1.5 GB
Updated	2026-07-22
Maintainer	xmadai
Model Type	llama
Instruction-Based	Yes
Model Files	1.5 GB
GPTQ Quantization	Yes
Quantization Type	gptq\|4bit
Model Architecture	LlamaForCausalLM
License	llama3.2
Context Length	131072
Model Max Length	131072
Transformers Version	4.44.2
Tokenizer Class	PreTrainedTokenizerFast
Vocabulary Size	128256
Torch Data Type	float16

Rank the Llama 3.2 1B Instruct XMADai 4bit 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 XMADai 4bit

Best Alternatives	Context / RAM	Downloads	Likes
... Fable5 V2 Thinking OptiQ 4bit	128K / 0.9 GB	1564	5
Llama 3 8B Legal Chatbot Id	128K / 2.5 GB	744	0
...lama 3.2 1B Legal Id Finetuned	128K / 2.5 GB	192	0
HRA Non Instruct Merged	128K / 2.5 GB	78	0
Llama3.2 1B HAREM	128K / 2.5 GB	411	0
Diqie123	128K / 2.5 GB	15	0
CodeNexus	128K / 2.5 GB	8	0
...2 1B Instruct Unsloth Bnb 4bit	128K / 1.1 GB	27547	4
Llama 3.2 1B Instruct 4bit	128K / 0.7 GB	49868	20
Llama 3.2 1B Instruct Bnb 4bit	128K / 1 GB	36333	22

Note: green Score (e.g. "73.2") means that the model is better than xmadai/Llama-3.2-1B-Instruct-xMADai-4bit.