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Intel/Qwen3.8-Flash-Next-W4A16-AutoRound

Intelhuggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-Au

Open in Graph
data quality53

Updated 9 h ago · first seen 11 Sept 2026

model_01M294YS470NKPRW92DN4R86MW

Overview

Identity

Identity block not returned by the API for this entity.

Openness

Openness not classified yet — no sourced evidence to place this model in the ontology.

Key facts

Release date

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 11 h agomedium

Hardware fit37

Estimated

23 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit43.8 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit43.8 GB est.Yes
Apple M2 Ultra4bit43.8 GB est.Yes
Apple M1 Ultra4bit43.8 GB est.Yes
Apple M3 Max4bit43.8 GB est.Yes
Apple M4 Max4bit43.8 GB est.Yes
Mac Studio (Apple M5 Max)4bit43.8 GB est.Yes
MacBook Pro (Apple M5 Max)4bit43.8 GB est.Yes
Apple M2 Max4bit43.8 GB est.Yes
Apple M1 Max4bit43.8 GB est.Yes
Apple M4 Pro4bit43.8 GB est.Yes
Mac mini (Apple M5 Pro)4bit43.8 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit43.8 GB est.Yes
NVIDIA A100 80GB4bit80 GB43.8 GB est.Yes
NVIDIA H100 SXM4bit80 GB43.8 GB est.Yes
NVIDIA H100 NVL4bit94 GB43.8 GB est.Yes
NVIDIA DGX Spark4bit128 GB43.8 GB est.Yes
NVIDIA H2004bit141 GB43.8 GB est.Yes
NVIDIA H200 NVL4bit141 GB43.8 GB est.Yes
NVIDIA B2004bit180 GB43.8 GB est.Yes
AMD Instinct MI300X4bit192 GB43.8 GB est.Yes
AMD Instinct MI325X4bit256 GB43.8 GB est.Yes
NVIDIA DGX B2004bit1,440 GB43.8 GB est.Yes
Apple M3 Pro4bit43.8 GB est.No
Apple M1 Pro4bit43.8 GB est.No
Apple M2 Pro4bit43.8 GB est.No
Apple M44bit43.8 GB est.No
iMac (Apple M4)4bit43.8 GB est.No
Mac mini (Apple M6)4bit43.8 GB est.No
MacBook Air (Apple M5)4bit43.8 GB est.No
MacBook Pro (Apple M5)4bit43.8 GB est.No
Apple M24bit43.8 GB est.No
Apple M34bit43.8 GB est.No
Apple M14bit43.8 GB est.No
NVIDIA GeForce RTX 30904bit24 GB43.8 GB est.No
NVIDIA GeForce RTX 40904bit24 GB43.8 GB est.No
NVIDIA GeForce RTX 50904bit32 GB43.8 GB est.No
Assumptions (6)
  • Estimated, not measured: weights = parameters × bytes/param × 1.15 runtime overhead.
  • bytes/param: 4bit = 0.5, 8bit = 1.0, fp16 = 2.0 (uniform quantization, no per-layer exceptions).
  • KV cache approximated at 0.5 GB per 8 192 tokens of context, independent of architecture (GQA/MLA models need less).
  • A model 'fits' when the estimate is at most the device memory minus 2 GB reserved for the OS and framework.
  • Mixture-of-experts models are estimated on total parameters (all experts must be resident); active parameters are ignored.
  • Device memory uses the largest configuration when several are listed (e.g. Apple silicon tiers).
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
ANCESTORS 1Qwen3.8 FlashQwenQwen3.8 Flash — QwenIntel/Qwen3.8-Flash-Next-W4A1…75.4B params · this modelIntel/Qwen3.8-Flash-Next-W4A16-AutoRound — 75.4B params · this model

Papers1

Change history21

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.

Viewing AI Atlas as of 12 Sept 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Attributes as of 12 Sept 2026 22 claims in force

Release date
28 Aug 2026
Openness
open-weights
License
Other
Architecture
Qwen4ExpForConditionalGeneration
Parameters
75.4B
Base model
Qwen/Qwen3.8-Flash-Next
File size
181.2 GB
Hugging Face repo
Intel/Qwen3.8-Flash-Next-W4A16-AutoRound
Pipeline tag
image-text-to-text
Downloads
30,761
Likes
19
Gated
No
Last modified
2026-08-31T13:34:32+00:00
Library name
transformers
License name
qwen-community-1.0
License url
LICENSE
Downloads all time
30,761
Model type
qwen4_exp
Tags
transformers, safetensors, qwen4_exp, image-text-to-text, 4-bit, auto-round
Weights available
Yes
Weights dtype
BF16, F16, I32, I64
21 claims · 21 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
28 Aug 2026currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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open-weightscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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othercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
Qwen4ExpForConditionalGenerationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
75.4BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Base modelbase_model1

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ValueValid from → toStatusSourceConfidenceExtractor
Qwen/Qwen3.8-Flash-NextcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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ValueValid from → toStatusSourceConfidenceExtractor
181.2 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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Intel/Qwen3.8-Flash-Next-W4A16-AutoRoundcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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image-text-to-textcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-AutoRoundcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
30,761currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
19currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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NocurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2026-08-31T13:34:32+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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transformerscurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License namelicense_name1

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qwen-community-1.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

License urllicense_url1

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LICENSEcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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30,761currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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qwen4_expcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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transformers, safetensors, qwen4_exp, image-text-to-text, 4-bit, auto-roundcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F16, I32, I64currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

21

Source tiers

T221

Freshest observation

9 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=Intel&p=0&sort=downloads listingT2· Quality secondary9 h ago3
Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-AutoRound/raw/main/README.md model_cardT2· Quality secondary10 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/Intel/Qwen3.8-Flash-Next-W4A16-AutoRound model_pageT2· Quality secondary11 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (53/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →