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Open-weight model

tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39

by Christopher Subia-Waud cwaud/tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39

tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39 is an open-weight model from Christopher Subia-Waud. It has 1.3B parameters and a 2,048-token context. At 16-bit it needs about 3.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters1.3B
Context2,048
Weights2.6 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39 (1.3B 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 2.6 GB 3.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 1.3 GB 1.6 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.7 GB 0.8 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 18, 2026.

tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39 on every accelerator the SAVRN Index prices, at every precision

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
FalconForCausalLM
Context length (tokens)
2,048
Layers
24
Hidden size
2,048
Attention heads
32
Vocabulary size
50,304
Model type
falcon

Identity and Version

Repository
cwaud/tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39
Publisher
Christopher Subia-Waud
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
1.3B parameters
Languages
Not stated by the source
Revision
7457d8d0d3d00d9ce45b199f5fe637896eca5fd1
First published
2026-09-24
Last updated
2026-09-24

Files and Weights

8 files, 2.6 GB in total. The weights are 1 file totalling 2.6 GB in safetensors.

Weights1 file · 2.6 GB
Configuration2 files · 1.5 KB
Tokenizer2 files · 3.6 MB
Other1 file · 23 B
Repository2 files · 1.5 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights2.6 GB f886b5d527a4
config.jsonConfiguration1.3 KB —
generation_config.jsonConfiguration161 B —
loss.txtOther23 B —
.gitattributesRepository1.5 KB —
.sn56_save_completeRepository18 B —
tokenizer.jsonTokenizer3.6 MB —
tokenizer_config.jsonTokenizer365 B —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
2.6 GB
Download from Christopher Subia-Waud

Released by Christopher Subia-Waud through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published2.6 GB
16-bit2.6 GB
8-bit1.3 GB
4-bit0.7 GB

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

Questions About tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39

How much GPU memory does tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39 need?

About 3.1 GB at 16-bit and 0.8 GB at 4-bit: the weights (1.3B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39 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 tournament-exp-s1-d99ce208-2ff2-47ec-8899-650972d0ae33-5Exp1642a3e76d0b5b39's context length?

2,048 tokens, from the maximum position embeddings in its published configuration.