What are the hardware requirements for Aksarallm 1.5B Native?

Aksarallm 1.5B Native requires approximately 8.2 GB of VRAM and supports a context window of 0.5K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Aksarallm 1.5B Native and how large is it?

Aksarallm 1.5B Native is developed by AksaraLLM, a model with 1.5b 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 Aksarallm 1.5B Native?

Aksarallm 1.5B Native is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Aksarallm 1.5B Native by AksaraLLM — VRAM 8.2GB, 0.5K context

Name: Aksarallm 1.5B Native
Author: AksaraLLM

Aksarallm 1.5B Native is an open-source language model by AksaraLLM. Features: 1.5b LLM, VRAM: 8.2GB, Context: 0.5K, License: apache-2.0, LLM Explorer Score: 0.23.

Aksarallm Conversational Endpoints compatible Experimental Id Indonesian Llama Pretrained-from-scratch Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AksaraLLM/aksarallm-1.5b-native

Aksarallm 1.5B Native Parameters and Internals

LLM Name	Aksarallm 1.5B Native
Repository 🤗	https://huggingface.co/AksaraLLM/aksarallm-1.5b-native
Model Size	1.5b
Required VRAM	8.2 GB
Updated	2026-09-05
Maintainer	AksaraLLM
Model Type	llama
Model Files	8.2 GB 8.2 GB
Supported Languages	id
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	512
Model Max Length	512
Transformers Version	4.40.0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151665
Torch Data Type	bfloat16
Errors	replace

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