What are the hardware requirements for Qwen2.5 1.5B Indonesian Sft Pgabl?

Qwen2.5 1.5B Indonesian Sft Pgabl requires approximately 3.1 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 Qwen2.5 1.5B Indonesian Sft Pgabl and how large is it?

Qwen2.5 1.5B Indonesian Sft Pgabl is developed by elmosiussuli, 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 Qwen2.5 1.5B Indonesian Sft Pgabl?

Qwen2.5 1.5B Indonesian Sft Pgabl is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 1.5B Indonesian Sft Pgabl by elmosiussuli — VRAM 3.1GB, 32K context

Name: Qwen2.5 1.5B Indonesian Sft Pgabl
Author: elmosiussuli

Qwen2.5 1.5B Indonesian Sft Pgabl is an open-source language model by elmosiussuli. Features: 1.5b LLM, VRAM: 3.1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.23.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-1.5... Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/elmosiussuli/qwen2.5-1.5b-indonesian-sft-pgabl

Qwen2.5 1.5B Indonesian Sft Pgabl Parameters and Internals

LLM Name	Qwen2.5 1.5B Indonesian Sft Pgabl
Repository 🤗	https://huggingface.co/elmosiussuli/qwen2.5-1.5b-indonesian-sft-pgabl
Base Model(s)	unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit
Model Size	1.5b
Required VRAM	3.1 GB
Updated	2026-07-28
Maintainer	elmosiussuli
Model Type	qwen2
Instruction-Based	Yes
Model Files	3.1 GB
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|PAD_TOKEN\|>
Vocabulary Size	151936
Torch Data Type	float16
Errors	replace

Rank the Qwen2.5 1.5B Indonesian Sft Pgabl 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 Qwen2.5 1.5B Indonesian Sft Pgabl

Best Alternatives	Context / RAM	Downloads	Likes
Quantrexa Prime 1.5B	32K / 3.1 GB	497	1
Qwen25 1.5B Alpaca Id Sft	32K / 3.1 GB	2038	0
....5 1.5B Instruct Alpaca Id Sft	32K / 3.1 GB	332	0
Qwen2.5 1.5B Instruct Legal Id	32K / 3.1 GB	1425	0
Vera Qwen 1.5B DPO	32K / 3.1 GB	381	1
Legal Chatbot Finetuned	32K / 3.1 GB	341	0
Legal Assistant Sft	32K / 3.1 GB	312	1
Legal Chatbot Llama3 Finetuned	32K / 3.1 GB	389	0
Legal Chatbot Qwen2.5 1.5B Id	32K / 3.1 GB	250	0
Legal Chatbot Llama3 Finetuned	32K / 3.1 GB	297	0

Note: green Score (e.g. "73.2") means that the model is better than elmosiussuli/qwen2.5-1.5b-indonesian-sft-pgabl.