What are the hardware requirements for Pgabl Ft Nama Siswa?

Pgabl Ft Nama Siswa requires approximately 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 Pgabl Ft Nama Siswa and how large is it?

Pgabl Ft Nama Siswa is developed by djalal548, a model with 0.5b 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 Pgabl Ft Nama Siswa?

Pgabl Ft Nama Siswa is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Pgabl Ft Nama Siswa by djalal548 — VRAM 1GB, 32K context

Name: Pgabl Ft Nama Siswa
Author: djalal548

Pgabl Ft Nama Siswa is an open-source language model by djalal548. Features: 0.5b LLM, VRAM: 1GB, Context: 32K, License: apache-2.0, Quantized, Instruction-Based, LLM Explorer Score: 0.27.

4bit Base model:finetune:unsloth/qw... Base model:unsloth/qwen2.5-0.5... Conversational En Endpoints compatible Instruct Quantized Qwen2 Region:us Safetensors Unsloth

Model Card on HF 🤗: https://huggingface.co/djalal548/pgabl-ft-nama-siswa

Pgabl Ft Nama Siswa Parameters and Internals

LLM Name	Pgabl Ft Nama Siswa
Repository 🤗	https://huggingface.co/djalal548/pgabl-ft-nama-siswa
Base Model(s)	unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit
Model Size	0.5b
Required VRAM	1 GB
Updated	2026-07-11
Maintainer	djalal548
Model Type	qwen2
Instruction-Based	Yes
Model Files	1.0 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 Pgabl Ft Nama Siswa 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 Pgabl Ft Nama Siswa

Best Alternatives	Context / RAM	Downloads	Likes
Legal Rag Qwen Sft	32K / 1 GB	204	0
Atomight V2.2 UltraThink 0.5B	32K / 1 GB	54	1
...mmanuel Siagian Exp1 Lr2e5 R16	32K / 1 GB	11	0
BoyBarley Sparky	32K / 1 GB	17	0
...0.5B Instruct Unsloth Bnb 4bit	32K / 0.5 GB	35360	6
Qwen2.5 0.5B Instruct 4bit	32K / 0.3 GB	15769	7
Qwen2.5 0.5B Instruct Bnb 4bit	32K / 0.5 GB	14598	4
...5 Coder 0.5B Instruct Bnb 4bit	32K / 0.5 GB	6612	4
TinySphinx	32K / 1 GB	34	0
... Instruct Unsloth Merged 16bit	32K / 1.3 GB	25	2