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GKA-primed-HQwen3-32B-Reasoner

Amazon Web Serviceshuggingface.co/amazon/GKA-primed-HQwen3-32B-Reas

Open in Graph
data quality53

Updated 7 h ago · first seen 11 Sept 2026

model_01M294X4CS9SP7SAX89Y3FHBK0

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 12 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 12 h agomedium

Hardware fit37

Estimated

36 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit20.1 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit20.1 GB est.Yes
Apple M2 Ultra4bit20.1 GB est.Yes
Apple M1 Ultra4bit20.1 GB est.Yes
Apple M3 Max4bit20.1 GB est.Yes
Apple M4 Max4bit20.1 GB est.Yes
Mac Studio (Apple M5 Max)4bit20.1 GB est.Yes
MacBook Pro (Apple M5 Max)4bit20.1 GB est.Yes
Apple M2 Max4bit20.1 GB est.Yes
Apple M1 Max4bit20.1 GB est.Yes
Apple M4 Pro4bit20.1 GB est.Yes
Mac mini (Apple M5 Pro)4bit20.1 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit20.1 GB est.Yes
Apple M3 Pro4bit20.1 GB est.Yes
Apple M1 Pro4bit20.1 GB est.Yes
Apple M2 Pro4bit20.1 GB est.Yes
Apple M44bit20.1 GB est.Yes
iMac (Apple M4)4bit20.1 GB est.Yes
Mac mini (Apple M6)4bit20.1 GB est.Yes
MacBook Air (Apple M5)4bit20.1 GB est.Yes
MacBook Pro (Apple M5)4bit20.1 GB est.Yes
Apple M24bit20.1 GB est.Yes
Apple M34bit20.1 GB est.Yes
NVIDIA GeForce RTX 30904bit24 GB20.1 GB est.Yes
NVIDIA GeForce RTX 40904bit24 GB20.1 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB20.1 GB est.Yes
NVIDIA A100 80GB4bit80 GB20.1 GB est.Yes
NVIDIA H100 SXM4bit80 GB20.1 GB est.Yes
NVIDIA H100 NVL4bit94 GB20.1 GB est.Yes
NVIDIA DGX Spark4bit128 GB20.1 GB est.Yes
NVIDIA H2004bit141 GB20.1 GB est.Yes
NVIDIA H200 NVL4bit141 GB20.1 GB est.Yes
NVIDIA B2004bit180 GB20.1 GB est.Yes
AMD Instinct MI300X4bit192 GB20.1 GB est.Yes
AMD Instinct MI325X4bit256 GB20.1 GB est.Yes
NVIDIA DGX B2004bit1,440 GB20.1 GB est.Yes
Apple M14bit20.1 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 32B32.8BQwen3 32B — 32.8BGKA-primed-HQwen3-32B-Reasoner34.1B params · this modelGKA-primed-HQwen3-32B-Reasoner — 34.1B params · this model

Papers1

Change history19

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 23 claims in force

Release date
31 Mar 2026
Openness
open-weights
License
Apache-2.0
Architecture
HybridQwen3ForCausalLM
Parameters
34.1B
Base model
Qwen/Qwen3-32B
File size
68.3 GB
Hugging Face repo
amazon/GKA-primed-HQwen3-32B-Reasoner
Pipeline tag
text-generation
Downloads
1,048
Likes
3
Commercial use allowed
Yes
Derivatives allowed
Yes
Gated
No
Last modified
2026-04-03T03:35:42+00:00
Library name
transformers
Downloads all time
20,845
Model type
hybrid_qwen3
Redistribution allowed
Yes
Tags
transformers, safetensors, hybrid_qwen3, text-generation, hybrid, ssm, state-space-model, linear-attention, gated-kalmanet, priming, long-context, reasoning
Weights available
Yes
Weights dtype
BF16
19 claims · 19 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
31 Mar 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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ValueValid from → toStatusSourceConfidenceExtractor
apache-2.0currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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ValueValid from → toStatusSourceConfidenceExtractor
HybridQwen3ForCausalLMcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
34.1BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Base modelbase_model1

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ValueValid from → toStatusSourceConfidenceExtractor
Qwen/Qwen3-32BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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68.3 GBcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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amazon/GKA-primed-HQwen3-32B-ReasonercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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ValueValid from → toStatusSourceConfidenceExtractor
text-generationcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/amazon/GKA-primed-HQwen3-32B-ReasonercurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
1,048currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
3currentcurrentHugging 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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2026-04-03T03:35:42+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

Downloads all timemetric.downloads_all_time1

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20,845currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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hybrid_qwen3currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Tagstags1

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transformers, safetensors, hybrid_qwen3, text-generation, hybrid, ssm, state-space-model, linear-attention, gated-kalmanet, priming, long-context, reasoningcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16currentcurrentHugging 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

19

Source tiers

T219

Freshest observation

7 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=amazon&p=0&sort=downloads listingT2· Quality secondary7 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/amazon/GKA-primed-HQwen3-32B-Reasoner/raw/main/README.md model_cardT2· Quality secondary10 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/amazon/GKA-primed-HQwen3-32B-Reasoner model_pageT2· Quality secondary10 h ago3

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 →