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Open-weight model

rengas-3.2-lora-adapters-st-014

by Junaidi Rompah Junaidi69/rengas-3.2-lora-adapters-st-014

rengas-3.2-lora-adapters-st-014 is an open-weight model from Junaidi Rompah. Its published files total 39.8 MB.

Adapter LoRA tahap 'st-014' — Fase 14/225 · latihpekerjapart07.jsonl. Gabungkan dengan base unsloth/Llama-3.2-1B-Instruct (mergekit/finalisasi) sebelum dipakai.

Parameters—
Context—
Weights22.6 MB
License—
AccessOpen weights
Monthly Downloads—

Model Card

Adapter LoRA tahap 'st-014' — Fase 14/225 · latihpekerjapart07.jsonl. Gabungkan dengan base unsloth/Llama-3.2-1B-Instruct (mergekit/finalisasi) sebelum dipakai.

Excerpt from the card by Junaidi Rompah.

Identity and Version

Repository
Junaidi69/rengas-3.2-lora-adapters-st-014
Publisher
Junaidi Rompah
Task
Not stated by the source
Modality
Other
Library
peft
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
4e6305447694b049029106337081f74cbec9bf4b
First published
2026-09-24
Last updated
2026-09-24

Files and Weights

8 files, 39.8 MB in total. The weights are 2 files totalling 22.6 MB in bin, safetensors.

Weights2 files · 22.6 MB
Configuration1 file · 1.2 KB
Tokenizer2 files · 17.2 MB
Documentation1 file · 260 B
Other1 file · 3.8 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights22.6 MB 76427074127a
training_args.binWeights5.7 KB 3dfa0262b080
adapter_config.jsonConfiguration1.2 KB —
README.mdDocumentation260 B —
chat_template.jinjaOther3.8 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer17.2 MB 6b9e4e7fb171
tokenizer_config.jsonTokenizer415 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
22.6 MB
Download from Junaidi Rompah

Released by Junaidi Rompah through its official repository on Hugging Face.

Built From

  • Adapter of unsloth/Llama-3.2-1B-Instruct
  • Derived from unsloth/Llama-3.2-1B-Instruct

Memory Requirements

PrecisionWeights in memory
As published22.6 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.