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Open-weight model

Qwen3.8-Flash-Next-oQ6e-fp16-mtp

by Scott Lowry scottlowry/Qwen3.8-Flash-Next-oQ6e-fp16-mtp

Qwen3.8-Flash-Next-oQ6e-fp16-mtp is an open-weight model from Scott Lowry. It has 180B parameters and a 262,144-token context. At 16-bit it needs about 432 GB of GPU memory, which fits on 2x MI325X from $4.00 an hour; at 4-bit, 108 GB on 1x MI300X from $1.85, at the lowest prices in the SAVRN Index.

This model was quantized using oQ (oMLX v0.7.1.dev1) mixed-precision quantization.

Parameters180B
Context262,144
Weights151.4 GB
License—
AccessOpen weights
Monthly Downloads—

Runs On

What it takes to serve Qwen3.8-Flash-Next-oQ6e-fp16-mtp (180B 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 360.0 GB 432.0 GB 2x MI325X (256 GB)
Vultr
$4.00 2x MI355X $5.18 · 3x MI300X $5.55
8-bit 180.0 GB 216.0 GB 1x MI325X (256 GB)
Vultr
$2.00 1x MI355X $2.59 · 2x MI300X $3.70
4-bit 90.0 GB 108.0 GB 1x MI300X (192 GB)
Vultr
$1.85 1x MI325X $2.00 · 1x MI355X $2.59

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 23, 2026.

Qwen3.8-Flash-Next-oQ6e-fp16-mtp on every accelerator the SAVRN Index prices, at every precision

Model Card

This model was quantized using oQ (oMLX v0.7.1.dev1) mixed-precision quantization.

Excerpt from the card by Scott Lowry.

Configuration

Architecture
Qwen4ExpForConditionalGeneration
Context length (tokens)
262,144
Layers
48
Hidden size
2,560
Attention heads
24
Key/value heads
2
Head dimension
256
Vocabulary size
248,320
Experts
512
Experts active per token
10
Model type
qwen4_exp

Identity and Version

Repository
scottlowry/Qwen3.8-Flash-Next-oQ6e-fp16-mtp
Publisher
Scott Lowry
Task
Not stated by the source
Modality
Other
Library
mlx
Parameters
180B parameters
Languages
mlx, oq
Revision
88c8aaf7c21a1e699b5949dd622b875780ae5d6c
First published
2026-10-14
Last updated
2026-10-14

Files and Weights

41 files, 151.5 GB in total. The weights are 29 files totalling 151.4 GB in safetensors.

Weights29 files · 151.4 GB
Configuration5 files · 608.7 KB
Tokenizer4 files · 22.9 MB
Documentation1 file · 328 B
Other1 file · 9.0 KB
Repository1 file · 1.6 KB
Every file
FileTypeSizeSHA-256
model-00001-of-00029.safetensorsWeights5.1 GB 17d3669d6b81
model-00002-of-00029.safetensorsWeights5.3 GB 9e7b33576f04
model-00003-of-00029.safetensorsWeights5.3 GB e85ebe6710b3
model-00004-of-00029.safetensorsWeights5.3 GB f3def38c5f17
model-00005-of-00029.safetensorsWeights5.3 GB 2e6d934d7b58
model-00006-of-00029.safetensorsWeights5.3 GB 9f5ad45dad9e
model-00007-of-00029.safetensorsWeights5.3 GB 712f20154a2d
model-00008-of-00029.safetensorsWeights5.3 GB 6f6d95269cef
model-00009-of-00029.safetensorsWeights5.0 GB d265f844971b
model-00010-of-00029.safetensorsWeights5.1 GB a649f57441fd
model-00011-of-00029.safetensorsWeights5.5 GB 0fc01e9ee1ee
model-00012-of-00029.safetensorsWeights5.5 GB 3669b9a64b7d
model-00013-of-00029.safetensorsWeights5.5 GB d1ea06789a2e
model-00014-of-00029.safetensorsWeights5.5 GB 1bff8a7c3115
model-00015-of-00029.safetensorsWeights5.5 GB 831d6fbe0d33
model-00016-of-00029.safetensorsWeights5.5 GB 7cbc2bede7e1
model-00017-of-00029.safetensorsWeights5.5 GB e411f3f69bd6
model-00018-of-00029.safetensorsWeights5.5 GB 11537d1ac6d3
model-00019-of-00029.safetensorsWeights5.5 GB 394308a48fb8
model-00020-of-00029.safetensorsWeights5.5 GB 1da20555eeeb
model-00021-of-00029.safetensorsWeights5.5 GB 93b74ad63c71
model-00022-of-00029.safetensorsWeights5.5 GB c83cb92a95f5
model-00023-of-00029.safetensorsWeights5.5 GB 629019e6a971
model-00024-of-00029.safetensorsWeights5.5 GB 9d47185b2f95
model-00025-of-00029.safetensorsWeights5.5 GB 51c562cabf6a
model-00026-of-00029.safetensorsWeights5.5 GB ae10469884aa
model-00027-of-00029.safetensorsWeights5.5 GB 9c531973cdef
model-00028-of-00029.safetensorsWeights5.5 GB dbf38d77d724
model-00029-of-00029.safetensorsWeights1.4 GB dd4cf7f138ba
config.jsonConfiguration134.3 KB —
generation_config.jsonConfiguration202 B —
model.safetensors.index.jsonConfiguration405.2 KB —
oq_imatrix_report.jsonConfiguration68.7 KB —
preprocessor_config.jsonConfiguration390 B —
README.mdDocumentation328 B —
chat_template.jinjaOther9.0 KB —
.gitattributesRepository1.6 KB —
merges.txtTokenizer3.4 MB —
tokenizer.jsonTokenizer12.8 MB 0997f410c57a
tokenizer_config.jsonTokenizer17.9 KB —
vocab.jsonTokenizer6.7 MB —

License and Download

License
Not stated by the source
Access
Open weights, no gate
Download size
151.4 GB
Download from Scott Lowry

Released by Scott Lowry through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published151.4 GB
16-bit360.0 GB
8-bit180.0 GB
4-bit90.0 GB

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

Questions About Qwen3.8-Flash-Next-oQ6e-fp16-mtp

How much GPU memory does Qwen3.8-Flash-Next-oQ6e-fp16-mtp need?

About 432 GB at 16-bit and 108 GB at 4-bit: the weights (180B parameters) plus a working margin. A long context needs more.

What is the cheapest GPU to run Qwen3.8-Flash-Next-oQ6e-fp16-mtp on?

At 16-bit, 2x MI325X from $4.00 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.

What is Qwen3.8-Flash-Next-oQ6e-fp16-mtp's context length?

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