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Open-weight model

opus-4.8-recreation-1b-light

by CyberviserAI GLASSEYE/opus-4.8-recreation-1b-light

Latest local refresh: see opus-4.8-recreation-1b-light-v4 under the same org (glasseye RTX 5070).

Parameters929M
Context
Weights5.8 GB
Licensemit
AccessOpen weights
Monthly Downloads26

Runs On

What it takes to serve opus-4.8-recreation-1b-light (929M 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 1.9 GB 2.2 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 0.9 GB 1.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 0.5 GB 0.6 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 Sep 18, 2026.

Model Card

By CyberviserAI, published under mit, revision 11c950b9a350.

Latest local refresh: see opus-4.8-recreation-1b-light-v4 under the same org (glasseye RTX 5070).

Read CyberviserAI's full model card

Opus 1B Light (baseline)

Latest local refresh: see opus-4.8-recreation-1b-light-v4 under the same org (glasseye RTX 5070).

Configuration

Vocabulary size
199,998
RoPE base
500000

Identity and Version

Repository
GLASSEYE/opus-4.8-recreation-1b-light
Publisher
CyberviserAI
Task
Not stated by the source
Modality
Other
Library
open_mythos
Parameters
929M parameters
Languages
Not stated by the source
Revision
11c950b9a350bfddf88f8fd81227709ce04ef8b7
First published
2026-05-31
Last updated
2026-09-18

Files and Weights

6 files, 5.8 GB in total. The weights are 2 files totalling 5.8 GB in bin, safetensors.

Weights2 files · 5.8 GB
Configuration2 files · 1.1 KB
Documentation1 file · 180 B
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model.safetensorsWeights3.7 GB 9c8dce601172
pytorch_model.binWeights2.1 GB 809179af07b3
build_metadata.jsonConfiguration589 B
config.jsonConfiguration538 B
README.mdDocumentation180 B
.gitattributesRepository1.6 KB

License and Download

License
mit
Access
Open weights, no gate
Download size
5.8 GB
Download from CyberviserAI

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

Memory Requirements

PrecisionWeights in memory
As published5.8 GB
16-bit1.9 GB
8-bit0.9 GB
4-bit0.5 GB

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

Questions About opus-4.8-recreation-1b-light

How much GPU memory does opus-4.8-recreation-1b-light need?

About 2.2 GB at 16-bit and 0.6 GB at 4-bit: the weights (929M parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run opus-4.8-recreation-1b-light 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 opus-4.8-recreation-1b-light commercially?

Yes. opus-4.8-recreation-1b-light is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.