What are the hardware requirements for Malaysian Llama 3.2 3B Instruct?

Malaysian Llama 3.2 3B Instruct requires approximately 7.2 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 Malaysian Llama 3.2 3B Instruct and how large is it?

Malaysian Llama 3.2 3B Instruct is developed by mesolitica, a model with 3b 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 Malaysian Llama 3.2 3B Instruct?

Malaysian Llama 3.2 3B Instruct is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Malaysian Llama 3.2 3B Instruct by mesolitica — VRAM 7.2GB, 128K context

Name: Malaysian Llama 3.2 3B Instruct
Author: mesolitica

Malaysian Llama 3.2 3B Instruct is an open-source language model by mesolitica. Features: 3b LLM, VRAM: 7.2GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.18.

En Instruct Llama Ms Region:us Safetensors Sharded Ta Tensorflow Zh

Model Card on HF 🤗: https://huggingface.co/mesolitica/Malaysian-Llama-3.2-3B-Instruct

Malaysian Llama 3.2 3B Instruct Parameters and Internals

LLM Name	Malaysian Llama 3.2 3B Instruct
Repository 🤗	https://huggingface.co/mesolitica/Malaysian-Llama-3.2-3B-Instruct
Model Size	3b
Required VRAM	7.2 GB
Updated	2026-07-22
Maintainer	mesolitica
Model Type	llama
Instruction-Based	Yes
Model Files	5.0 GB: 1-of-2 2.2 GB: 2-of-2
Supported Languages	ms en zh ta
Model Architecture	LlamaForCausalLM
Context Length	131072
Model Max Length	131072
Transformers Version	4.51.3
Tokenizer Class	PreTrainedTokenizer
Padding Token	<\|finetune_right_pad_id\|>
Vocabulary Size	128256
Torch Data Type	bfloat16

Rank the Malaysian Llama 3.2 3B Instruct 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 Malaysian Llama 3.2 3B Instruct

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Llama 3.2 3B Instruct	128K / 6.5 GB	1829572	2368
Llama 3.2 3B Instruct	128K / 6.5 GB	186207	96
Llama 3.2 3B Instruct	128K / 6.5 GB	991	9
... V7 SFT 10voicebot Loopcleaned	128K / 6.5 GB	229	0
Llama 3.2 3B RP Toxic Fuse	128K / 6.4 GB	14	2
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DeepSeek R1 Distill Llama 3B	128K / 6.5 GB	247	16
ReasoningCore 3B T1 1	128K / 6.5 GB	8	1
... 3.2 3B Math Instruct RE1 ORPO	128K / 6.5 GB	48	0
Zeitgeist 3B V1	128K / 6.5 GB	105	5

Note: green Score (e.g. "73.2") means that the model is better than mesolitica/Malaysian-Llama-3.2-3B-Instruct.