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Open-weight model

replay-522e0294-XC

by Ilfan Aulia Nur Pagi Jordansky/replay-522e0294-XC

replay-522e0294-XC is an open-weight model from Ilfan Aulia Nur Pagi. It has 3.1B parameters and a 32,768-token context. At 16-bit it needs about 7.4 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters3.1B
Context32,768
Weights6.2 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve replay-522e0294-XC (3.1B 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 6.2 GB 7.4 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 3.1 GB 3.7 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 1.5 GB 1.9 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 18, 2026.

replay-522e0294-XC on every accelerator the SAVRN Index prices, at every precision

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
Qwen2ForCausalLM
Context length (tokens)
32,768
Layers
36
Hidden size
2,048
Feed-forward size
11,008
Attention heads
16
Key/value heads
2
Vocabulary size
151,936
Model type
qwen2

Identity and Version

Repository
Jordansky/replay-522e0294-XC
Publisher
Ilfan Aulia Nur Pagi
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
3.1B parameters
Languages
Not stated by the source
Revision
de40f288865251734e94295377c79f2dcd4e1410
First published
2026-09-26
Last updated
2026-09-26

Files and Weights

8 files, 6.2 GB in total. The weights are 1 file totalling 6.2 GB in safetensors.

Weights1 file · 6.2 GB
Configuration3 files · 2.9 KB
Tokenizer2 files · 11.4 MB
Other1 file · 22 B
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights6.2 GB d084ff5f791c
config.jsonConfiguration1.6 KB —
generation_config.jsonConfiguration150 B —
run_meta.jsonConfiguration1.2 KB —
loss.txtOther22 B —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer11.4 MB 3fd169731d2c
tokenizer_config.jsonTokenizer405 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
6.2 GB
Download from Ilfan Aulia Nur Pagi

Released by Ilfan Aulia Nur Pagi through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published6.2 GB
16-bit6.2 GB
8-bit3.1 GB
4-bit1.5 GB

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

Questions About replay-522e0294-XC

How much GPU memory does replay-522e0294-XC need?

About 7.4 GB at 16-bit and 1.9 GB at 4-bit: the weights (3.1B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run replay-522e0294-XC 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 replay-522e0294-XC's context length?

32,768 tokens, from the maximum position embeddings in its published configuration.