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Kimi-Linear-48B-A3B-Instruct

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

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data quality59

Updated 7 h ago · first seen 11 Sept 2026

model_01M294ZGHZKJ43ETJRE5GJZY1Z

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 13 h agomedium

Active 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 13 h agomedium

Hugging Face repo

Source:Hugging Face Hub (public pages, model cards, papers)T2observed 13 h agomedium

Capabilities

Modalities

Modalities unavailable.

Capabilities

  • Tool calling

    Unavailable

  • Structured output

    Unavailable

  • Reasoning

    No

    Artificial Analysis · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:Artificial AnalysisT2observed 11 h agomedium

Benchmarks6

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

No benchmark results recorded

Results appear when a tier 1–3 source publishes them; we never copy scores without a source.

Hardware fit37

Estimated

32 of 37 device × quantization combinations fit.

Run locally: your machine →
Estimated hardware fit
HardwareQuantizationDevice memoryEst. memoryFits
Apple M3 Ultra4bit—28.8 GB est.Yes
Mac Studio (Apple M5 Ultra)4bit—28.8 GB est.Yes
Apple M2 Ultra4bit—28.8 GB est.Yes
Apple M1 Ultra4bit—28.8 GB est.Yes
Apple M3 Max4bit—28.8 GB est.Yes
Apple M4 Max4bit—28.8 GB est.Yes
Mac Studio (Apple M5 Max)4bit—28.8 GB est.Yes
MacBook Pro (Apple M5 Max)4bit—28.8 GB est.Yes
Apple M2 Max4bit—28.8 GB est.Yes
Apple M1 Max4bit—28.8 GB est.Yes
Apple M4 Pro4bit—28.8 GB est.Yes
Mac mini (Apple M5 Pro)4bit—28.8 GB est.Yes
MacBook Pro (Apple M5 Pro)4bit—28.8 GB est.Yes
Apple M3 Pro4bit—28.8 GB est.Yes
Apple M1 Pro4bit—28.8 GB est.Yes
Apple M2 Pro4bit—28.8 GB est.Yes
Apple M44bit—28.8 GB est.Yes
iMac (Apple M4)4bit—28.8 GB est.Yes
Mac mini (Apple M6)4bit—28.8 GB est.Yes
MacBook Air (Apple M5)4bit—28.8 GB est.Yes
MacBook Pro (Apple M5)4bit—28.8 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 M24bit—28.8 GB est.No
Apple M34bit—28.8 GB est.No
Apple M14bit—28.8 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).

Lineage

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Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 1cerebras/Kimi-Linear-REAP-35B…35.1Bcerebras/Kimi-Linear-REAP-35B-A3B-Instruct — 35.1BKimi-Linear-48B-A3B-Instruct49.1B params · this modelKimi-Linear-48B-A3B-Instruct — 49.1B params · this model

Papers2

Timeline7

Full timeline →

Change history22

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-Instruct 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.
22 claims · 22 properties

Release daterelease_date1

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

Opennessopenness1

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open-weights → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Licenselicense1

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mit → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Architecturearchitecture1

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KimiLinearForCausalLM → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Parametersparameter_count1

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49.1B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Active parametersactive_parameter_count1

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3B → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Context windowcontext_length1

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1M tokens → currentcurrentArtificial AnalysisT2mediumdeterministic

File sizefile_size_gb1

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98.3 GB → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hugging Face repohf_repo1

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moonshotai/Kimi-Linear-48B-A3B-Instruct → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Pipeline tagpipeline_tag1

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text-generation → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model cardmodel_card_url1

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https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloadsmetric.downloads1

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176,764 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Likesmetric.likes1

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595 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Gatedgated1

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No → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Hf inference providershf_inference_providers1

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featherless-ai → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Last modifiedlast_modified1

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2025-12-16T14:50:08+00:00 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Library namelibrary_name1

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transformers → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Downloads all timemetric.downloads_all_time1

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1,187,818 → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Model typemodel_type1

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kimi_linear → currentcurrentHugging Face Hub (public pages, model cards, papers)T2mediumdeterministic

Reasoningreasoning1

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No → currentcurrentArtificial AnalysisT2mediumdeterministic

Tagstags1

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

Weights dtypeweights_dtype1

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ValueValid from → toStatusSourceConfidenceExtractor
BF16, F32 → currentcurrentHugging 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

22

Source tiers

T222

Freshest observation

7 h ago

Conflicts

None

Source documents 5

Source documents
SourceDocumentTypeTierLast observedSnapshots
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/Kimi-Linear-REAP-35B-A3B-Instruct model_pageT2· Quality secondary7 h ago5
Hugging Face Hub (public pages, model cards, papers)huggingface.co/models?author=moonshotai&p=0&sort=downloads listingT2· Quality secondary7 h ago6
Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct model_pageT2· Quality secondary8 h ago4
Hugging Face Hub (public pages, model cards, papers)huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct/raw/main/README.md model_cardT2· Quality secondary10 h ago1
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· 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 (59/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →