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Open-weight model

dtp-opsd5587

by Ekkoalex ekko126/dtp-opsd5587

dtp-opsd5587 is an open-weight model from Ekkoalex, released under Apache License 2.0. It has 8.8B parameters and a 262,144-token context. At 16-bit it needs about 21 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

Parameters8.8B
Context262,144
Weights17.5 GB
Licenseapache-2.0
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve dtp-opsd5587 (8.8B 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 17.5 GB 21.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
8-bit 8.8 GB 10.5 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 4.4 GB 5.3 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 20, 2026.

dtp-opsd5587 on every accelerator the SAVRN Index prices, at every precision

Model Card

The publisher has not written a card for this model.

Configuration

Architecture
Qwen3VLForConditionalGeneration
Context length (tokens)
262,144
Layers
36
Hidden size
4,096
Feed-forward size
12,288
Attention heads
32
Key/value heads
8
Head dimension
128
Vocabulary size
151,936
RoPE base
5,000,000
Model type
qwen3_vl

Identity and Version

Repository
ekko126/dtp-opsd5587
Publisher
Ekkoalex
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
8.8B parameters
Languages
Not stated by the source
Revision
0d3d900a45bda107dd727efe207a1455aafd7a1d
First published
2026-10-16
Last updated
2026-10-16

Files and Weights

20 files, 17.6 GB in total. The weights are 5 files totalling 17.5 GB in bin, safetensors.

Weights5 files · 17.5 GB
Configuration8 files · 283.0 KB
Tokenizer4 files · 15.9 MB
Documentation1 file · 28 B
Other1 file · 5.3 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00004.safetensorsWeights5.0 GB e8f923aec917
model-00002-of-00004.safetensorsWeights4.9 GB 98512bf9149c
model-00003-of-00004.safetensorsWeights4.9 GB 41865942a272
model-00004-of-00004.safetensorsWeights2.7 GB 914681a9da67
training_args.binWeights9.7 KB f362ffe50863
added_tokens.jsonConfiguration707 B —
config.jsonConfiguration1.6 KB —
generation_config.jsonConfiguration199 B —
model.safetensors.index.jsonConfiguration67.8 KB —
preprocessor_config.jsonConfiguration783 B —
special_tokens_map.jsonConfiguration613 B —
trainer_state.jsonConfiguration210.5 KB —
video_preprocessor_config.jsonConfiguration818 B —
README.mdDocumentation28 B —
chat_template.jinjaOther5.3 KB —
.gitattributesRepository1.6 KB —
merges.txtTokenizer1.7 MB —
tokenizer.jsonTokenizer11.4 MB aeb13307a71a
tokenizer_config.jsonTokenizer5.5 KB —
vocab.jsonTokenizer2.8 MB —

License and Download

License
apache-2.0
Access
Open weights, no gate
Download size
17.5 GB
Download from Ekkoalex

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

Memory Requirements

PrecisionWeights in memory
As published17.5 GB
16-bit17.5 GB
8-bit8.8 GB
4-bit4.4 GB

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

Questions About dtp-opsd5587

How much GPU memory does dtp-opsd5587 need?

About 21 GB at 16-bit and 5.3 GB at 4-bit: the weights (8.8B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run dtp-opsd5587 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 dtp-opsd5587 commercially?

Yes. dtp-opsd5587 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.

What is dtp-opsd5587's context length?

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