What are the hardware requirements for AksaraLLM Qwen 1.5B?

AksaraLLM Qwen 1.5B requires approximately 4 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed AksaraLLM Qwen 1.5B and how large is it?

AksaraLLM Qwen 1.5B 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 Qwen 1.5B?

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

AksaraLLM Qwen 1.5B by AksaraLLM — VRAM 4GB, 32K context

Name: AksaraLLM Qwen 1.5B
Author: AksaraLLM

AksaraLLM Qwen 1.5B is an open-source language model by AksaraLLM. Features: 1.5b LLM, VRAM: 4GB, Context: 32K, License: apache-2.0, LLM Explorer Score: 0.23.

Aksarallm Base model:finetune:qwen/qwen2... Base model:qwen/qwen2-1.5b Continued-pretrain Conversational Endpoints compatible Id Indonesian Qwen2 Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/AksaraLLM/AksaraLLM-Qwen-1.5B

AksaraLLM Qwen 1.5B Parameters and Internals

LLM Name	AksaraLLM Qwen 1.5B
Repository 🤗	https://huggingface.co/AksaraLLM/AksaraLLM-Qwen-1.5B
Base Model(s)	Qwen/Qwen2-1.5B Qwen/Qwen2-1.5B
Model Size	1.5b
Required VRAM	4 GB
Updated	2026-10-21
Maintainer	AksaraLLM
Model Type	qwen2
Model Files	4.0 GB
Supported Languages	id
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.40.0.dev0
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Vocabulary Size	151936
Torch Data Type	bfloat16
Errors	replace

Rank the AksaraLLM Qwen 1.5B 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 AksaraLLM Qwen 1.5B

Best Alternatives	Context / RAM	Downloads	Likes
Qwen2.5 1.5B 1.3M Stretched	1280K / 3.1 GB	27	0
ReaderLM V2	500K / 3.1 GB	35356	804
Reader Lm 1.5B	250K / 3.1 GB	385	608
DeepSeek R1 Distill Qwen 1.5B	128K / 3.5 GB	600051	1545
Ko R1 1.5B Preview	128K / 7.1 GB	8	9
When2Think ThinkOnly 1.5B	128K / 7.1 GB	366	7
Qwen2.5 1.5B	128K / 3.1 GB	863295	203
My Fine Tuned Qwen	128K / 3.1 GB	360	1
Edu Slm	128K / 3.5 GB	358	1
MLR Executor Qwen 1.5B	128K / 3.5 GB	503	0

Note: green Score (e.g. "73.2") means that the model is better than AksaraLLM/AksaraLLM-Qwen-1.5B.