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Open-weight model

EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX

by Eric Peters epetersio/EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX

EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX is an open-weight model from Eric Peters. It has 35.1B parameters and a 262,144-token context. At 16-bit it needs about 84.3 GB of GPU memory, which fits on 1x MI300X from $1.85 an hour, at the lowest prices in the SAVRN Index.

MTPLX-branded multi-token-prediction model for Apple Silicon (MLX). Forged with MTPLX Forge from EryriLabs/Ornith-1.5-35B-A3B-BigBang-MTP. See mtplxruntime.json for the full verification record. See LICENSE.

Parameters35.1B
Context262,144
Weights22.1 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX (35.1B 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 70.2 GB 84.3 GB 1x MI300X (192 GB)
Vultr
$1.85 1x MI325X $2.00 · 1x MI355X $2.59
8-bit 35.1 GB 42.1 GB 1x MI300X (192 GB)
Vultr
$1.85 1x H100 $1.99 · 1x MI325X $2.00
4-bit 17.6 GB 21.1 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 19, 2026.

EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX on every accelerator the SAVRN Index prices, at every precision

Model Card

MTPLX-branded multi-token-prediction model for Apple Silicon (MLX). Forged with MTPLX Forge from EryriLabs/Ornith-1.5-35B-A3B-BigBang-MTP. See mtplxruntime.json for the full verification record. See LICENSE.

Excerpt from the card by Eric Peters.

Configuration

Architecture
Qwen3_5MoeForConditionalGeneration
Context length (tokens)
262,144
Layers
40
Hidden size
2,048
Attention heads
16
Key/value heads
2
Head dimension
256
Vocabulary size
248,320
Experts
256
Experts active per token
8
Model type
qwen3_5_moe

Identity and Version

Repository
epetersio/EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX
Publisher
Eric Peters
Task
Not stated by the source
Modality
Other
Library
Not stated by the source
Parameters
35.1B parameters
Languages
Not stated by the source
Revision
b4b651af970bde631b8c167d9c29c2bb29438ad2
First published
2026-09-23
Last updated
2026-09-24

Files and Weights

18 files, 22.1 GB in total. The weights are 6 files totalling 22.1 GB in safetensors.

Weights6 files · 22.1 GB
Configuration7 files · 231.5 KB
Tokenizer2 files · 28.1 MB
Documentation1 file · 643 B
Other1 file · 7.5 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00004.safetensorsWeights5.3 GB 31a5ff844f2b
model-00002-of-00004.safetensorsWeights5.4 GB e0a72ce9df0d
model-00003-of-00004.safetensorsWeights5.4 GB 22a6fb2cd6cc
model-00004-of-00004.safetensorsWeights3.4 GB 89a2d3156591
model-vision.safetensorsWeights893.2 MB 0b8aec604ebd
mtp.safetensorsWeights1.7 GB cb1dd3f1475c
config.jsonConfiguration20.5 KB —
generation_config.jsonConfiguration202 B —
model.safetensors.index.jsonConfiguration204.8 KB —
mtplx_runtime.jsonConfiguration4.0 KB —
preprocessor_config.jsonConfiguration390 B —
processor_config.jsonConfiguration1.2 KB —
video_preprocessor_config.jsonConfiguration385 B —
README.mdDocumentation643 B —
chat_template.jinjaOther7.5 KB —
.gitattributesRepository1.6 KB —
tokenizer.jsonTokenizer28.1 MB 697dcad33c4c
tokenizer_config.jsonTokenizer1.2 KB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
22.1 GB
Download from Eric Peters

Released by Eric Peters through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published22.1 GB
16-bit70.2 GB
8-bit35.1 GB
4-bit17.6 GB

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

Questions About EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX

How much GPU memory does EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX need?

About 84.3 GB at 16-bit and 21.1 GB at 4-bit: the weights (35.1B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX 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 is EryriLabs-Ornith-1.5-35B-A3B-BigBang-MTP-MTPLX's context length?

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