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Kimi-Linear-48B-A3B-Base

Moonshot AIhuggingface.co/moonshotai/Kimi-Linear-48B-A3B-Ba

Open in Graph
data quality53

Updated 9 h ago · first seen 11 Sept 2026

model_01M294ZGKHHQ7KD5BFSZ2652A9

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 14 h agomedium

Architecture

Architecture

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Model type

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Active parameters

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Weights dtype

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

File size

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Library name

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 14 h agomedium

Pipeline tag

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 15 h agomedium

Hardware fit37

Estimated

32 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit28.8 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit28.8 GB est.Yes
Apple M2 Ultra4bit28.8 GB est.Yes
Apple M1 Ultra4bit28.8 GB est.Yes
Apple M3 Max4bit28.8 GB est.Yes
Apple M4 Max4bit28.8 GB est.Yes
Mac Studio (Apple M5 Max)4bit28.8 GB est.Yes
MacBook Pro (Apple M5 Max)4bit28.8 GB est.Yes
Apple M2 Max4bit28.8 GB est.Yes
Apple M1 Max4bit28.8 GB est.Yes
Apple M4 Pro4bit28.8 GB est.Yes
Mac mini (Apple M5 Pro)4bit28.8 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit28.8 GB est.Yes
Apple M3 Pro4bit28.8 GB est.Yes
Apple M1 Pro4bit28.8 GB est.Yes
Apple M2 Pro4bit28.8 GB est.Yes
Apple M44bit28.8 GB est.Yes
iMac (Apple M4)4bit28.8 GB est.Yes
Mac mini (Apple M6)4bit28.8 GB est.Yes
MacBook Air (Apple M5)4bit28.8 GB est.Yes
MacBook Pro (Apple M5)4bit28.8 GB est.Yes
NVIDIA GeForce RTX 50904bit32 GB28.8 GB est.Yes
NVIDIA A100 80GB4bit80 GB28.8 GB est.Yes
NVIDIA H100 SXM4bit80 GB28.8 GB est.Yes
NVIDIA H100 NVL4bit94 GB28.8 GB est.Yes
NVIDIA DGX Spark4bit128 GB28.8 GB est.Yes
NVIDIA H2004bit141 GB28.8 GB est.Yes
NVIDIA H200 NVL4bit141 GB28.8 GB est.Yes
NVIDIA B2004bit180 GB28.8 GB est.Yes
AMD Instinct MI300X4bit192 GB28.8 GB est.Yes
AMD Instinct MI325X4bit256 GB28.8 GB est.Yes
NVIDIA DGX B2004bit1,440 GB28.8 GB est.Yes
Apple M24bit28.8 GB est.No
Apple M34bit28.8 GB est.No
Apple M14bit28.8 GB est.No
NVIDIA GeForce RTX 30904bit24 GB28.8 GB est.No
NVIDIA GeForce RTX 40904bit24 GB28.8 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).

Papers2

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 Mar 2026 — attributes exactly as the atlas knew them on that day; later corrections are not shown.

Back to today →

Kimi-Linear-48B-A3B-Base was not yet in AI Atlas on 12 Mar 2026

First seen 11 Sept 2026. Nothing is inferred backwards: no attribute is shown for dates before the first observation.
19 claims · 19 properties

Release daterelease_date1

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ValueValid from → toStatusSourceConfidenceExtractor
30 Oct 2025currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Opennessopenness1

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

Licenselicense1

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

Architecturearchitecture1

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

Parametersparameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
49.1BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Active parametersactive_parameter_count1

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ValueValid from → toStatusSourceConfidenceExtractor
3BcurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

File sizefile_size_gb1

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

Hugging Face repohf_repo1

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ValueValid from → toStatusSourceConfidenceExtractor
moonshotai/Kimi-Linear-48B-A3B-BasecurrentcurrentHugging 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/moonshotai/Kimi-Linear-48B-A3B-BasecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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ValueValid from → toStatusSourceConfidenceExtractor
2,734currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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ValueValid from → toStatusSourceConfidenceExtractor
82currentcurrentHugging 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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ValueValid from → toStatusSourceConfidenceExtractor
2026-01-30T04:50:42+00:00currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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

Downloads all timemetric.downloads_all_time1

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ValueValid from → toStatusSourceConfidenceExtractor
15,805currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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

Tagstags1

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transformers, safetensors, kimi_linear, text-generation, custom_codecurrentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32currentcurrentHugging 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

9 h ago

Conflicts

None

Source documents 3

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Base/raw/main/README.md model_cardT2· Quality secondary8 h ago1
Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Base model_pageT2· Quality secondary9 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=moonshotai&p=0&sort=downloads listingT2· Quality secondary9 h ago6

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 →