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Open-weight model

olmo3-190m-zh-nano-sft

by Lijinyan lijinyan89/olmo3-190m-zh-nano-sft

olmo3-190m-zh-nano-sft is an open-weight model from Lijinyan, released under Apache License 2.0. It has 22M parameters. At 16-bit it needs about 0.1 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters22M
Context—
Weights—
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve olmo3-190m-zh-nano-sft (22M 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 0.0 GB 0.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.0 GB 0.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.0 GB 0.0 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.

olmo3-190m-zh-nano-sft on every accelerator the SAVRN Index prices, at every precision

Model Card

Identity and Version

Repository
lijinyan89/olmo3-190m-zh-nano-sft
Publisher
Lijinyan
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
22M parameters
Languages
zh
Revision
40025eb931dc69a1b0b3de49fa0a98b13a8fa530
First published
2026-10-20
Last updated
2026-10-20

License and Download

License
apache-2.0
Access
Open weights, no gate
Download from Lijinyan

Released by Lijinyan through its official repository on Hugging Face. Read the license.

Built From

  • Derived from lijinyan89/olmo3-190m-zh-nano-continue

Memory Requirements

PrecisionWeights in memory
16-bit0.0 GB
8-bit0.0 GB
4-bit0.0 GB

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

Questions About olmo3-190m-zh-nano-sft

How much GPU memory does olmo3-190m-zh-nano-sft need?

About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (22M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run olmo3-190m-zh-nano-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 olmo3-190m-zh-nano-sft commercially?

Yes. olmo3-190m-zh-nano-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.