Swift-1.5-Qwen3.8-27b by LEBON: Open-Weight Model

Runs On

What it takes to serve Swift-1.5-Qwen3.8-27b (27.8B parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them.

Precision	Weights	Memory needed	Cheapest setup	Per hour	Also fits
16-bit	55.6 GB	66.7 GB	1x MI300X (192 GB) Vultr	$1.85	1x H100 $1.99 · 1x MI325X $2.00
8-bit	27.8 GB	33.3 GB	1x MI300X (192 GB) Vultr	$1.85	1x H100 $1.99 · 1x MI325X $2.00
4-bit	13.9 GB	16.7 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.

Swift-1.5-Qwen3.8-27b on every accelerator the SAVRN Index prices, at every precision

Model Card

Swift 1.5 Qwen3.8-27B is UkisAI's reasoning-efficient derivative of Qwen3.8-27B. It uses 58.5% fewer thinking tokens while scoring 0.35% higher than the base, for a 1.95× speed-up on several tasks. Swift 1.5 is a direct upgrade from Swift 1.0, our model with 350k+ downloads, delivering stronger overall performance than both base and Swift 1.0 in various tasks, especially coding and agentic, while using fewer thinking tokens. We accomplished that by scaling up the post-training (RL and OPD) from the previous version. We gave base Qwen3.8-27B and Swift 1.5 27B the same prompt: Base Qwen3.8-27B took 104.6 minutes to build its game. Swift 1.5 took 11.39 minutes. We made Swift efficient by…

Excerpt from the card by LEBON, licensed other.

Configuration

Architecture: Qwen3_5ForConditionalGeneration
Context length (tokens): 262,144
Layers: 64
Hidden size: 5,120
Feed-forward size: 17,408
Attention heads: 24
Key/value heads: 4
Head dimension: 256
Vocabulary size: 248,320
Model type: qwen3_5

Identity and Version

Repository: jEROMELebon91/Swift-1.5-Qwen3.8-27b
Publisher: LEBON
Task: Image and text to text
Modality: Image and text
Library: transformers
Parameters: 27.8B parameters
Languages: Not stated by the source
Revision: 16c254444cc73f35de78ba2c3655035db6625006
First published: 2026-09-30
Last updated: 2026-09-30

Files and Weights

36 files, 55.6 GB in total. The weights are 18 files totalling 55.6 GB in safetensors.

Weights18 files · 55.6 GB

Configuration6 files · 129.4 KB

Tokenizer4 files · 22.9 MB

Documentation4 files · 49.6 KB

Other3 files · 5.1 MB

Repository1 file · 1.7 KB

Every file

File	Type	Size	SHA-256
model-00001-of-00018.safetensors	Weights	4.0 GB	b9dcb3e15c00
model-00002-of-00018.safetensors	Weights	3.0 GB	ecf7312565a0
model-00003-of-00018.safetensors	Weights	2.5 GB	cec21a535170
model-00004-of-00018.safetensors	Weights	4.0 GB	3a1a2bfcfd17
model-00005-of-00018.safetensors	Weights	2.1 GB	389931270466
model-00006-of-00018.safetensors	Weights	4.0 GB	da6f16eabe6b
model-00007-of-00018.safetensors	Weights	2.1 GB	b4b9f91766d3
model-00008-of-00018.safetensors	Weights	4.0 GB	df58405d10cb
model-00009-of-00018.safetensors	Weights	2.1 GB	84ba24193b7d
model-00010-of-00018.safetensors	Weights	4.0 GB	aacd71e34312
model-00011-of-00018.safetensors	Weights	2.1 GB	6d967f431bdf
model-00012-of-00018.safetensors	Weights	4.0 GB	c36593694bc3
model-00013-of-00018.safetensors	Weights	2.1 GB	b50b55cffe8b
model-00014-of-00018.safetensors	Weights	4.0 GB	27b627a940af
model-00015-of-00018.safetensors	Weights	2.1 GB	f9203192d4a7
model-00016-of-00018.safetensors	Weights	4.0 GB	cf3333f84d37
model-00017-of-00018.safetensors	Weights	2.1 GB	e446dd9c79fc
model-00018-of-00018.safetensors	Weights	3.4 GB	2898c2335e6c
benchmarks/quantization-20260921.json	Configuration	11.9 KB	—
config.json	Configuration	4.3 KB	—
generation_config.json	Configuration	202 B	—
model.safetensors.index.json	Configuration	112.2 KB	—
preprocessor_config.json	Configuration	390 B	—
video_preprocessor_config.json	Configuration	385 B	—
LICENSE	Documentation	13.3 KB	—
LICENSE-APACHE-2.0	Documentation	11.5 KB	—
NOTICE	Documentation	1.1 KB	—
README.md	Documentation	23.7 KB	—
chat_template.jinja	Other	9.0 KB	—
swift-1.5-planet-demo.mp4	Other	4.7 MB	1cda6924169e
ukisai-banner.png	Other	307.7 KB	8577252b8b37
.gitattributes	Repository	1.7 KB	—
merges.txt	Tokenizer	3.4 MB	—
tokenizer.json	Tokenizer	12.8 MB	0997f410c57a
tokenizer_config.json	Tokenizer	17.9 KB	—
vocab.json	Tokenizer	6.7 MB	—

License and Download

License: other
Access: Open weights, no gate
Download size: 55.6 GB

Download from LEBON

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

Built From

Derived from Qwen/Qwen3.8-27B

Memory Requirements

Precision	Weights in memory
As published	55.6 GB
16-bit	55.6 GB
8-bit	27.8 GB
4-bit	13.9 GB

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

Questions About Swift-1.5-Qwen3.8-27b

How much GPU memory does Swift-1.5-Qwen3.8-27b need?

About 66.7 GB at 16-bit and 16.7 GB at 4-bit: the weights (27.8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Swift-1.5-Qwen3.8-27b 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 license is Swift-1.5-Qwen3.8-27b released under?

other, as its publisher declares it. Read the license text before commercial use.

What is Swift-1.5-Qwen3.8-27b's context length?

262,144 tokens, from the maximum position embeddings in its published configuration.

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