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Open-weight model

reasoning-rlvr-sft

by CHAGANTI RAJA RAVI TEJA Raviteja546/reasoning-rlvr-sft

reasoning-rlvr-sft is an open-weight model from CHAGANTI RAJA RAVI TEJA, released under Apache License 2.0. It has 1.7B parameters. At 16-bit it needs about 4.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters1.7B
Context—
Weights—
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve reasoning-rlvr-sft (1.7B 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 3.4 GB 4.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 1.7 GB 2.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.9 GB 1.0 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 22, 2026.

reasoning-rlvr-sft on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
Raviteja546/reasoning-rlvr-sft
Publisher
CHAGANTI RAJA RAVI TEJA
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
1.7B parameters
Languages
sft
Revision
dc437efd49b589f169b08b28a32540bd9c86674a
First published
2026-10-19
Last updated
2026-10-19

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from CHAGANTI RAJA RAVI TEJA

Released by CHAGANTI RAJA RAVI TEJA through its official repository on Hugging Face. Read the license.

Built From

Memory Requirements

PrecisionWeights in memory
16-bit3.4 GB
8-bit1.7 GB
4-bit0.9 GB

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

Questions About reasoning-rlvr-sft

How much GPU memory does reasoning-rlvr-sft need?

About 4.1 GB at 16-bit and 1 GB at 4-bit: the weights (1.7B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run reasoning-rlvr-sft 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.

Can I use reasoning-rlvr-sft commercially?

Yes. reasoning-rlvr-sft is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.