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Open-weight model · Text generation

fine-tuned-model-indonesian

by Hendri Mardani hendrimardani/fine-tuned-model-indonesian

fine-tuned-model-indonesian is an open-weight model for text generation from Hendri Mardani. It has 8B parameters and a 131,072-token context. At 16-bit it needs about 19.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index. It draws 896 downloads a month.

This model is a fine-tuned version of unsloth/Llama-3.1-8B-unsloth-bnb-4bit. It has been trained using TRL. This model was trained with SFT.

Parameters8B
Context131,072
Weights16.5 GB
License—
AccessOpen weights
Monthly Downloads896

Runs On

What it takes to serve fine-tuned-model-indonesian (8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

PrecisionWeightsMemory neededCheapest setupPer hourAlso fits
16-bit 16.1 GB 19.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 8.0 GB 9.6 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.0 GB 4.8 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00

Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the SAVRN Index, read Oct 7, 2026.

fine-tuned-model-indonesian on every accelerator the SAVRN Index prices, at every precision

Model Card

This model is a fine-tuned version of unsloth/Llama-3.1-8B-unsloth-bnb-4bit. It has been trained using TRL. This model was trained with SFT.

Excerpt from the card by Hendri Mardani.

Configuration

Architecture
LlamaForCausalLM
Context length (tokens)
131,072
Layers
32
Hidden size
4,096
Feed-forward size
14,336
Attention heads
32
Key/value heads
8
Head dimension
128
Vocabulary size
128,256
RoPE base
500000
Stored precision
bfloat16
Model type
llama

Identity and Version

Repository
hendrimardani/fine-tuned-model-indonesian
Publisher
Hendri Mardani
Task
Text generation
Modality
Text
Library
transformers
Parameters
8B parameters
Languages
trl, sft
Revision
494fa41ef733ab79eaa2892b330c84c245fbda6c
First published
2026-09-07
Last updated
2026-10-07

Files and Weights

33 files, 16.5 GB in total. The weights are 12 files totalling 16.5 GB in bin, pt, pth, safetensors.

Weights12 files · 16.5 GB
Configuration8 files · 39.1 KB
Tokenizer4 files · 34.5 MB
Documentation2 files · 6.8 KB
Other6 files · 48.7 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
adapter_model.safetensorsWeights167.8 MB 23598e2cd27b
last-checkpoint/adapter_model.safetensorsWeights167.8 MB 23598e2cd27b
last-checkpoint/optimizer.ptWeights86.9 MB d20147eb8b73
last-checkpoint/rng_state.pthWeights14.6 KB 17cd930da978
last-checkpoint/scaler.ptWeights1.4 KB 911449e67f31
last-checkpoint/scheduler.ptWeights1.5 KB 2755d5cf27ce
last-checkpoint/training_args.binWeights6.3 KB a1b348ddb811
model-00001-of-00004.safetensorsWeights5.0 GB 3e1bfbb07f98
model-00002-of-00004.safetensorsWeights5.0 GB 551c2ab5c5f6
model-00003-of-00004.safetensorsWeights4.9 GB d8bae02c9eb4
model-00004-of-00004.safetensorsWeights1.2 GB 1673a1e529d6
training_args.binWeights6.3 KB a1b348ddb811
adapter_config.jsonConfiguration1.2 KB —
config.jsonConfiguration934 B —
generation_config.jsonConfiguration240 B —
last-checkpoint/adapter_config.jsonConfiguration1.2 KB —
last-checkpoint/special_tokens_map.jsonConfiguration459 B —
last-checkpoint/trainer_state.jsonConfiguration10.6 KB —
model.safetensors.index.jsonConfiguration23.9 KB —
special_tokens_map.jsonConfiguration459 B —
README.mdDocumentation1.6 KB —
last-checkpoint/README.mdDocumentation5.2 KB —
chat_template.jinjaOther4.6 KB —
last-checkpoint/chat_template.jinjaOther4.6 KB —
runs/Oct06_12-36-40_a058ff06be0a/events.out.tfevents.1791290262.a058ff06be0a.58.0Other6.4 KB d564a55e4bbb
runs/Oct06_12-36-40_a058ff06be0a/events.out.tfevents.1791290530.a058ff06be0a.58.1Other8.5 KB 6edbba374efa
runs/Oct06_14-12-15_a058ff06be0a/events.out.tfevents.1791295993.a058ff06be0a.58.2Other16.9 KB 4b4c464c0e6e
runs/Oct07_02-00-32_7f70dd57ee97/events.out.tfevents.1791338567.7f70dd57ee97.58.0Other7.7 KB 04c692dfac05
.gitattributesRepository1.6 KB —
last-checkpoint/tokenizer.jsonTokenizer17.2 MB 6b9e4e7fb171
last-checkpoint/tokenizer_config.jsonTokenizer50.6 KB —
tokenizer.jsonTokenizer17.2 MB 6b9e4e7fb171
tokenizer_config.jsonTokenizer50.6 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
16.5 GB
Download from Hendri Mardani

Released by Hendri Mardani through its official repository on Hugging Face.

Built From

  • Derived from unsloth/Llama-3.1-8B-unsloth-bnb-4bit

Memory Requirements

PrecisionWeights in memory
As published16.5 GB
16-bit16.1 GB
8-bit8.0 GB
4-bit4.0 GB

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

Questions About fine-tuned-model-indonesian

How much GPU memory does fine-tuned-model-indonesian need?

About 19.3 GB at 16-bit and 4.8 GB at 4-bit: the weights (8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run fine-tuned-model-indonesian on?

At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

What is fine-tuned-model-indonesian's context length?

131,072 tokens, from the maximum position embeddings in its published configuration.

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